Assignment 3 The data (see Assignment 3 Excel file) represent phenol concentrations (aitrary units)...

Question

Assignment 3
The data (see Assignment 3 Excel file) represent phenol concentrations (a
itrary units) from
control (raw) and boiled peanuts.
A) In SAS (upload the SAS program in Blackboard under Assignment 3A):
A1. Prepare an appropriate SAS program that will address questions on B. Grading will be based
in your ability to include all the procedures that are necessary to answer questions on B.
B) In a MS word Document (upload the document in Blackboard under Assignment 3B)
Answer the following questions:
B1.
a) Run an appropriate test to print the data (in the output windows) after sorting by treatments.
Obtain a Box and Whisker plot.
) Using at least 100 words explain the information that was obtained from the Box and Whisker
plots. Use of Standard English conventions including: punctuation, capitalization, usage,
spelling, and sentence structure is expected
B2
a) Run an appropriate test to evaluate possible differences between treatments using an alpha =
5%.
) Write the null and alternate hypothesis to evaluate homoscedasticity (use the equation tool and
proper symbols).
H0:
HA:
c) Are the variances homogenous? Copy and paste the table in SAS that you used to answer the
question. Be sure that you write a complete sentence on the rationale used to reject or fail to
eject the null hypothesis in b) (i.e. compare the P-value with alpha = 5%).
d) Using the equation tool in MS Word provide the formula used to calculate the Satterthwaite's
Approximation for Degrees of Freedom.
e) Using the equation tool in MS Word provide the numbers used to calculate Satterthwaite's
Approximation for Degrees of Freedom. Be sure that your final answer is the same as the one
obtained in the SAS output. Copy and paste the information obtained in SAS to prove that the
numbers are the same as the one that you obtained in this step.
B3.
a) Using the equation tool in MS Word provide the formula used to calculate the t-statistics “by
hand.”
) Using the equation tool in MS Word provide the numbers used to calculate the t-statistics “by
hand.” Be sure that your final answer is the same as the one obtained in the SAS output. Copy
and paste the information obtained in SAS to prove that the numbers are the same as the one that
you obtained in this step.
B4.
a) Write the null and alternate hypothesis to evaluate differences between treatments (use the
equation tool and proper symbols).
H0:
HA:
) Are the means different? Copy and paste the table in SAS that you used to answer the
question. Be sure that you write a complete sentence on the rationale used to reject or fail to
eject the null hypothesis in a) (i.e. compare the P-value with alpha = 5%)
B5.
a) Suppose that this was part of the results that will be included in a peer-reviewed publication.
Prepare a bar graph to show the averages of each treatment. Clearly label the X- and Y-axis
using proper units. Remember that the title of the figure should stand alone. In addition, write a
statement as if you were writing the results and discussion sections of the paper (at least 100
words).

qfile_636864736100254912_124745_1.pdf qfile_636864736100254912_124745_2.xlsx

Vidhi · Accepted Answer

SAS files/code files/Analysis of Means 1.ctk
 
     
         Analysis of Means
         Analysis of means simultaneously compares treatment means to their overall mean.
         ec0de2e2-e910-498d-95e2-7b2450166e70
         ANOM
         3.7
         
             SAS Studio Task Reference Guide
             
             
             The ANOM Procedure
             
             
             SAS Tutorials
        
    
     
         
             
                 
                     Response variable:
                     Group variable:
                     Group size variable:
                     Group analysis by:
                
            
             
        
         
             DATA
             DATA
             Sort data before chart creation
             Chart type:
             Mean chart with boxes
             Proportion chart
             Rate chart
             Mean chart
             Group size:
             Group size variable
             Constant group size
             Size of groups
             ROLES
             ADDITIONAL ROLES
             OPTIONS
             DECISION LIMITS
             Method:
             Compute from data
             Probability of Type I error:
             Use stored limits
             To create a stored limits table, select the Save decision limits option on the OUTPUT tab.
             INSET OPTIONS
             Include inset table
             Inset position:
             Top left
             Top right
             Inset statistics
             Significance level
             Degrees of freedom
             Average of group means
             Mean square error
             CHART OPTIONS
             Display markers for groups
             Display vertical needles
             TABULAR OUTPUT
             Display table of points that exceed limits
             OUTPUT
             OUTPUT DATA SETS
             Save summary statistics and decision limits
             Data set name:
             Save decision limits
             Data set name:
        
    
     
         
             
                 
                 
            
             
                 
                 
                 
                     
                     
                     
                     
                
                 
                     
                     
                
                 
                 
            
             
                 
            
        
         
             
                 
                     
                     
                     
                
                 
                 
                 
            
             
                 
            
             
                 
                 
                     
                     
                
                 
                     
                     
                     
                     
                
            
        
         
             
                 
                 
                 
                 
            
        
    
     
         
             
             
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
             
        
         
             
             
             
        
         
             
             
             
             
        
         
             
             
             
             
        
         
             
             
        
    
     
         
             At least one inset statistic must be selected.
        
    
     
## build the inset statement
#if($insetCheck == "1")
   #set($insetstmt = "inset")
   #if($alpha2 == '1') #set($insetstmt = $insetstmt + ' alpha') #end 
   #if($dfe == '1') #set($insetstmt = $insetstmt + ' dfe') #end
   #if($mean == '1') #set($insetstmt = $insetstmt + ' mean') #end
   #if($mse == '1') #set($insetstmt = $insetstmt + ' mse') #end   
   #set($insetstmt = $insetstmt + '/position=' + $position + ';')
#else
   #set($insetstmt = "")
#end
ods noproctitle;
ods graphics / imagemap=on;
#if($byVar.size() > 0 || $sortCheck == 1)
   proc sort data=$dataset out=_anomSorted;
   by
   #if($byVar.size() > 0)
      #foreach($item in $byVar) $item #end
   #end
   #foreach($item in $groupVar) $item #end;
   #if ($dataset.getWhereClause() != '')
      where $dataset.getWhereClause();
   #end
   run;
proc anom data=_anomSorted
#else proc anom data=$dataset
#end
#if ($methodCombo == 'storedlimits') limits=$limitsdata #end 
;
#if($chartCombo == 'boxChart') boxchart 
   #elseif($chartCombo == 'pChart') pchart
   #elseif($chartCombo == 'xChart') xchart
   #else uchart
#end
   #foreach($item in $responseVar) $item #end * #foreach($item in $groupVar) $item #end 
   /
   #if($groupnCombo) groupn=
      #if($groupnCombo == 'varselect') #foreach($item in $groupnVar) $item #end 
      #else $groupNum 
      #end
   #end
   #if($methodCombo == 'computelimits') alpha=$alpha #end
   #if($markers == 1) markers #end
   #if($needles == 0) noneedles #end
   #if($tableCheck == 1) table(exceptions) #end
   #if($outlimCheck == '1') outlimits=$outlim #end
   #if($outtableCheck == '1') outtable=$outtable #end  
   ;
#if($byVar.size() > 0) by #foreach($item in $byVar) $item #end;#end
$insetstmt
run;
#if($byVar.size() > 0 || $sortCheck == 1)
proc delete data=_anomSorted;
run;
#end
     
{"methodCombo":"computelimits","rolesGroup":"ROLES","outlim":"_outlimits0001","outtable":"_outtable0001","groupNum":"","needles":"1","chartGroup":"CHART OPTIONS","outputTab":"OUTPUT","tableCheck":"","nw":"Top left","xChart":"Mean chart","groupnVar":"","byVar":"","sasVersion":"9.450000000000001","insetCheck":"","outlimCheck":"","sortCheck":"1","dataTab":"DATA","markers":"","optionsTab":"OPTIONS","outtableCheck":"","groupVar":"json:[{\"value\":\"RAW\",\"type\":\"Numeric\",\"length\":8,\"format\":\"BEST.\",\"informat\":\"\",\"className\":\"RoleObject\"}]","storedlimits":"Use stored limits","otherRolesGroup":"ADDITIONAL ROLES","position":"nw","varselect":"Group size variable","limitsGroup":"DECISION LIMITS","numselect":"Constant group size","outputGroup":"OUTPUT DATA SETS","boxChart":"Mean chart with boxes","alpha2":"1","alpha":"0.05","mean":"1","sasOS":"Linux LIN X64 3.10.0-693.21.1.el7.x86_64","uChart":"Rate chart","tableGroup":"TABULAR OUTPUT","mse":"1","dataGroup":"DATA","computelimits":"Compute from data","chartCombo":"boxChart","insetGroup":"INSET OPTIONS","insetStats":"Inset statistics","groupnCombo":"varselect","pChart":"Proportion chart","responseVar":"json:[{\"value\":\"BOILED\",\"type\":\"Numeric\",\"length\":8,\"format\":\"BEST.\",\"informat\":\"\",\"className\":\"RoleObject\"}]","dfe":"1","dataset":{"librarytable":"WORK.PETRO_EXCEL"},"ne":"Top right","limitsdata":{"librarytable":"WORK.PETRO_EXCEL"},"limitsMessage":"To create a stored limits table, select the Save decision limits option on the OUTPUT tab."}
SAS files/code files/Bar Chart.ctk
 
     
         Bar Chart
         Bar charts compare numeric values or statistics between different values of a chart variable. Bar charts show the relative magnitude of data by displaying bars of varying height. Each bar represents a category of data.
         A0EEED19-14E9-4AA8-9E3E-4F1B22B078F2
         SGPLOT
         3.7
         
             SAS Studio Task Reference Guide
             
             
             The SGPLOT Procedure
             
             
             SAS Tutorials
        
    
     
        
         
             
                 
                     Category:
                     Variable:
                     Subcategory:
                     URL variable:
                     Group analysis by:
                     Weight:
                
            
        
         
             DATA
             DATA
             ROLES
             ADDITIONAL ROLES
             APPEARANCE
            
             Include filter clause as footnote
            
             Where clause:
             TITLE AND FOOTNOTE
             Title:
             Font size (default: 14 pt):
             Footnote:
             Font size (default: 12 pt):
             CHART ORIENTATION
             Vertical
             Horizontal
            
             Options:
             Display grouped bars:
             Clustered side by side
             Stacked on one another
             Legend location:
             Outside (default)
             Inside
            
             Measure:
             Frequency count (default)
             Frequency percent
             Variable
             Statistic:
             
             Percent of the sum
             Sum (default)
             Mean
             Error bars:
             (none)
             Both
             Upper
             Lower
             Type:
             Confidence limit (default)
             Standard deviation
             Standard error
             Specify a statistic multiplier
             Multiplier:
             Confidence level:
             95% (default)
             99%
             90%
             Use custom value
             Custom confidence level (%):
            
             BARS
             Show labels
             Set color
             Color
             Color transparency:
             0% (default)
             25%
             50%
             75%
             100%
             Details
             Apply color gradient
             Effect:
             Gloss
             Sheen
             Crisp
             Matte
             Pressed
            
             CATEGORY AXIS
             Reverse tick values
             Show tick values in data order
             Display label:
             Label:
             Rotate labels in case of tick collisions
             Rotate by 45 degrees
             Rotate by 90 degrees
             Create a reference line
             Reference value:
             Reference value as label
             Custom label
             Label:
             Line offset:
             0 (default)
             -0.5
             -0.25
             0.25
             0.5
             MEASURE AXIS
             Show grid lines
             Display label:
             Display label:
             Default label
             No label
             Statistics name in label
             No statistics name in label
             Custom label
             Label:
             Use logarithmic scale
             Base value:
             2
             10 (default)
             e
             Axis baseline:
             Rotate labels in case of tick collisions
             Rotate by 45 degrees
             Rotate by 90 degrees
             Create a reference line
             Reference value:
             Reference value as label
             Custom label
             Label:
             Specify minimum value
             Minimum value:
             Specify maximum value
             Maximum value:
             GRAPH SIZE
             Units:
             Inches (default)
             Cms
             Pixels
             Width:
             Height:
             Width:
             Height:
             Width:
             Height:
        
    
    
    
     
         
             
                 
            
             
                 
                 
            
             
                 
                 
                 
                     
                     
                     
                     
                         
                         
                    
                
                 
                     
                     
                     
                
                 
                 
                     
                         
                         
                         
                    
                     
                         
                         
                         
                         
                    
                     
                         
                         
                         
                    
                     
                     
                     
                         
                         
                         
                         
                    
                     
                
            
             
                 
                 
            
        
         
             
                 
                 
                 
                 
                     
                     
                     
                     
                     
                
                 
                     
                     
                         
                         
                         
                         
                         
                         
                    
                     
                
            
             
                 
                 
                 
                     
                     
                     
                
                 
                 
                 
                 
                 
                 
                 
                     
                     
                     
                     
                     
                
                 
                 
                 
            
             
                 
                 
                 
                 
                 
                 
                     
                     
                     
                     
                     
                
                 
                     
                     
                     
                
                 
                 
                 
                     
                     
                     
                
                 
                 
                 
                 
                 
                 
                 
                 
                 
            
             
                 
                 
                 
                 
                 
            
             
                 
                     
                     
                     
                
                 
                 
                 
                 
                 
                 
            
        
    
     
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
             
             
             
             
        
         
             
             
        
         
             
             
             
             
        
         
             
             
        
         
             
             
             
             
             
             
        
         
             
             
             
             
             
             
        
         
             
             
             
             
             
             
        
    
     
         
             The maximum value of measure axis should be greater than or equal to the minimum value of measure axis.
        
    
    
     
##--Extract first item from list--##
#if($category.size()>0) #set($CAT=$category.get(0)) #end
#if($measure.size()>0) #set($RESP=$measure.get(0)) #end
#if($group.size()>0) #set($GRP=$group.get(0)) #end
#if($urlVar.size()>0) #set($URL=$urlVar.get(0)) #end
#if($byVar.size()>0) #set($BY=$byVar.get(0)) #end
#if($weight.size()>0) #set($WGT=$weight.get(0)) #end
##--Set Graph Size--##
#if($dimType=="in")
    #set($WIDTH="$inchWidth$dimType")
    #set($HEIGHT="$inchHeight$dimType")
#end
#if($dimType=="cm")
    #set($WIDTH="$cmWidth$dimType")
    #set($HEIGHT="$cmHeight$dimType")
#end
#if($dimType=="px")
    #set($WIDTH="$pixelWidth$dimType")
    #set($HEIGHT="$pixelHeight$dimType")
#end
##--Set output size--##
ods graphics / reset width=$WIDTH height=$HEIGHT imagemap;
#if($BY)
##--Sort data by BY variable--##
proc sort data=$dataSource out=_BarChartTaskData;
    by $BY;
run;
#end
##--SGPLOT proc statement--##
proc sgplot data= #if($BY) _BarChartTaskData #else $dataSource #end#if($dataSource.getWhereClause()!="")(where=($dataSource.getWhereClause())) #end;
#if($BY)
##--BY Variable--##
    by $BY;
#end
##--Build qouted strings for title and footnote to clean up any quotes provided by user--##
#if($titleString!="") #set($qTitleString=$CTMUtil.doubleQuoteString($titleString)) #end
#if($footnoteString!="") #set($qFootnoteString=$CTMUtil.doubleQuoteString($footnoteString)) #end
##--TITLE and FOOTNOTE--##
#set($pt="pt")
#if($titleString!="") 
    #set($titleSizePt="$titleSize$pt")
    title height=$titleSizePt $qTitleString;
#end
#if($footnoteString!="" || ($dataSource.getWhereClause()!="" && $includeAsFootnote=='1'))
    #set($footSizePt="$footnoteSize$pt")
    #if($dataSource.getWhereClause()!="" && $includeAsFootnote=='1') footnote justify=left height=$footSizePt
        #set($whereStr="$whereClause $dataSource.getWhereClause()") $CTMUtil.doubleQuoteString($whereStr);
    #end
    #if($footnoteString!="")
        footnote2 justify=left height=$footSizePt $qFootnoteString;
    #end
#end
#if(($useColor && $useColor=='1') || $barTrans!='0') #set ($SETATTRS='Yes') 
#else #set($SETATTRS='No')
#end
##--Bar chart settings--##
#if($barOrient=='vertical') vbar $CAT
#else hbar $CAT
#end / 
#if($RESP) response=$RESP #end
#if($URL) url=$URL #end
#if($GRP) 
    group=$GRP groupdisplay=$groupDisplay
#end
#if($SETATTRS=='Yes') fillattrs=(
    #if($useColor=='1') color=$barColor #end 
	#if($barTrans!='0') transparency=$barTrans #end)  
#end
#if($barStatLabels=='1') datalabel #end
#if($barLimits)
    #if($barLimits!='none')
        limits=$barLimits limitstat=$barLimitStat
        #if($barNumStdChkbox && $barNumStdChkbox=='1') numstd=$barNumStd #end
        #if($barLimitStat=='clm') 
            ## Calculate alpha from confidence level
            #if($confLevelCombo=="confLevel99Choice") alpha=0.01 #elseif($confLevelCombo=="confLevel90Choice") alpha=0.10 
            #elseif($confLevelCombo=="confLevelCustomChoice") #if($confLevel!=95) alpha=%sysevalf((100-$confLevel)/100) #end
            #end
        #end
    #end
#end
#if($fillGradient=='1') fillType=gradient #end
#if($RESP)
    #if($statChoiceResponse!='sum') stat=$statChoiceResponse #end
#else
    #if($measureCombo!='freq') stat=$measureCombo #end
#end
#if($barSkin!='none') dataskin=$barSkin #end
#if($RESP)
    #if($displayRespLabel1=='statsLabel') statlabel
    #elseif($displayRespLabel1=='noStatsLabel') nostatlabel
    #end
#end
#if($logAxis=='1') baseline=$logBaseline #end
#if($WGT) weight=$WGT #end
;
#set($catAxis=0)
#if($displayCatLabel!='defaultLabel' || $sortByData=='1' || $catReverse=='1' || $catLabelRotation=='1') #set($catAxis=1) #end
#if($catAxis=='1')
##--Category Axis--##
    #if($barOrient=='vertical') xaxis
    #else yaxis
    #end
    #if($sortByData=='1') discreteorder=data #end
    #if($catReverse=='1') reverse #end
    #if($displayCatLabel=='noLabel') display=(nolabel) #end
    #if($displayCatLabel=='customLabel') label=$CTMUtil.doubleQuoteString($catLabel) #end
    #if($catLabelRotation=='1') valuesrotate=#if($catTickRotate=='catDiagonalRotation') diagonal #else vertical #end #end
;
#end
        
#set($respAxis=0)
#if(($measureCombo=='measureChoiceVar' && $measure.size()>0 && ($displayRespLabel1=='noLabel' || $displayRespLabel1=='customLabel')) 
    || ($measureCombo!='measureChoiceVar' && ($displayRespLabel2=='noLabel' || $displayRespLabel2=='customLabel')) 
    || $showRespGrid=='1' || $logAxis=='1' || $respLabelRotation=='1' || $respAxisMin=='1' || $respAxisMax=='1') #set($respAxis=1) #end
#if($respAxis=='1')
##--Response Axis--##
    #if($barOrient=='vertical') yaxis
    #else xaxis
    #end
    #if($respAxisMin=='1') min=$respAxisMinValue #end
    #if($respAxisMax=='1') max=$respAxisMaxValue #end
    #if($showRespGrid=='1') grid #end
    #if(($measureCombo=='measureChoiceVar' && $measure.size()>0 && $displayRespLabel1=='noLabel') || ($measureCombo!='measureChoiceVar' && $displayRespLabel2=='noLabel')) display=(nolabel) #end
    #if(($measureCombo=='measureChoiceVar' && $measure.size()>0 && $displayRespLabel1=='customLabel') || ($measureCombo!='measureChoiceVar' && $displayRespLabel2=='customLabel')) label=$CTMUtil.doubleQuoteString($respLabel) #end
    #if($logAxis=='1')
        type=log #if($logBaseCombo!='10') logbase=$logBaseCombo #end
    #end
    #if($respLabelRotation=='1') valuesrotate=#if($respTickRotate=='respDiagonalRotation') diagonal #else vertical #end #end
;
#end
#if($catRefLine=='1')
##--Category Reference Line--##
    refline #if($CAT.get('type')=='Char') $CTMUtil.doubleQuoteString($catRefLineValue) #else $catRefLineValue #end /
    #if($barOrient=='vertical') axis=x
    #else axis=y
    #end 
    lineattrs=(thickness=2 color=blue)
	#if($catRefLineOffset!='0') discreteoffset=$catRefLineOffset #end
	label#if($catRefLabel=='catRefCustom')=$CTMUtil.doubleQuoteString($catRefCustomLabel) #end
    labelattrs=(color=blue)
;
#end
#if($respRefLine=='1')
##--Response Reference Line--##
    refline $respRefLineValue /
    #if($barOrient=='vertical') axis=y
    #else axis=x
    #end
    lineattrs=(thickness=2 color=green)
	label#if($respRefLabel=='respRefCustom')=$CTMUtil.doubleQuoteString($respRefCustomLabel) #end
    labelattrs=(color=green)
;
#end
#if($GRP && $legendLoc=='inside')
##--Legend Settings--##
    keylegend / location=$legendLoc;
#end
run;
##--Clean up--##
ods graphics / reset;
#if($titleString!="") title; #end
#if($footnoteString!="" || ($dataSource.getWhereClause()!="" && $includeAsFootnote=='1'))
    #if($dataSource.getWhereClause()!="" && $includeAsFootnote=='1') footnote; #end
    #if($footnoteString!="") footnote2; #end
#end
#if($BY)
proc datasets library=WORK noprint; 
    delete _BarChartTaskData; 
run;
#end
     
{"customLabel":"Custom label","catLabelRotation":"0","lower":"Lower","statsLabel":"Statistics name in label","respAxisMinValue":"","confLevelCombo":"confLevelDefaultChoice","inchWidth":"6.4","appearanceTab":"APPEARANCE","barTrans50Choice":"50%","catRefLineOffset50Choice":"0.5","barsGroup":"BARS","footnoteString":"","barTrans100Choice":"100%","catRefLineOffset":"0","confLevelCustomChoice":"Use custom value","graphSize":"GRAPH SIZE","logBaseCombo":"10","statChoiceResponse":"sum","orientation":"CHART ORIENTATION","barOrient":"vertical","respRefCustomLabel":"","catDiagonalRotation":"1","respAxisMin":"0","respAxisMax":"0","measureChoicePercent":"Frequency percent","category":"json:[{\"value\":\"BOILED\",\"type\":\"Numeric\",\"length\":8,\"format\":\"BEST.\",\"informat\":\"\",\"className\":\"RoleObject\"}]","horizontal":"0","titleString":"","includeAsFootnote":"0","cmWidth":"16","outside":"Outside (default)","sortByData":"0","respDiagonalRotation":"1","respVerticalRotation":"0","pressed":"Pressed","catRefValue":"1","groupedBarStyle":"Display grouped bars:","catRefLabel":"catRefValue","displayRespLabel1":"defaultLabel","CLM":"Confidence limit (default)","displayRespLabel2":"defaultLabel","title":"TITLE AND FOOTNOTE","cmHeight":"12","statChoicePercent":"Percent of the sum","catRefCustomLabel":"","sheen":"Sheen","sasOS":"Linux LIN X64 3.10.0-693.21.1.el7.x86_64","barLimits":"none","barTrans25Choice":"25%","catRefLineOffsetNegative50Choice":"-0.5","barTrans75Choice":"75%","statChoiceSum":"Sum (default)","dataGroup":"DATA","groupDisplay":"cluster","urlVar":"","barTransDefaultChoice":"0% (default)","barDetails":"Details","crisp":"Crisp","catRefLineOffsetNegative25Choice":"-0.25","gloss":"Gloss","catRefLine":"0","catTickRotate":"catDiagonalRotation","displayCatLabel":"defaultLabel","stdErr":"Standard error","respRefCustom":"0","logAxis":"0","stdDev":"Standard deviation","rolesGroup":"ROLES","whereClause":"Where clause:","vertical":"1","respTickRotate":"respDiagonalRotation","both":"Both","statChoiceMean":"Mean","respRefValue":"1","matte":"Matte","catRefLineOffset25Choice":"0.25","pixelWidth":"640","logBase2":"2","measureCombo":"freq","measureAxis":"MEASURE AXIS","logBase10":"10 (default)","pixelHeight":"480","barSkin":"none","catReverse":"0","none":"(none)","measureChoiceFreq":"Frequency count (default)","barNumStd":"1","byVar":"","sasVersion":"9.450000000000001","logBaseE":"e","logBaseline":"","respAxisMaxValue":"","dataTab":"DATA","defaultLabel":"Default label","confLevel99Choice":"99%","catRefLineValue":"","catLabel":"","subcatGroup":"Options:","confLevelDefaultChoice":"95% (default)","cm":"Cms","barColor":"#CAD5E5","respRefLineValue":"","catRefCustom":"0","stack":"0","dataSource":{"librarytable":"WORK.PETRO_EXCEL"},"weight":"","measure":"","respRefLine":"0","upper":"Upper","inchHeight":"4.8","catRefLineOffsetDefaultChoice":"0 (default)","noStatsLabel":"No statistics name in label","barLimitStat":"clm","measureChoiceVar":"Variable","titleSize":"14","footnoteSize":"12","confLevel90Choice":"90%","useColor":"0","showRespGrid":"1","fillGradient":"0","noLabel":"No label","barTrans":"0","respLabel":"","dimType":"in","in":"Inches (default)","barStatLabels":"0","respRefLabel":"respRefValue","respLabelRotation":"0","px":"Pixels","catVerticalRotation":"0","legendLoc":"outside","inside":"Inside","barNumStdChkbox":"0","cluster":"1","confLevel":"95","addRolesGroup":"ADDITIONAL ROLES","categoryAxis":"CATEGORY AXIS","group":"","statisticGroup":"Statistic:"}
SAS files/code files/Box Plot.ctk.log
  1          OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK; 70          71         /* Generated Code (IMPORT) */ 72         /* Source File: qfile_636864736100254912_124745_2.xlsx */ 73         /* Source Path: /home/shaziyaislam260 */ 74         /* Code generated on: 2/24/19, 3:56 PM */ 75          76         %web_drop_table(WORK.IMPORT); NOTE: Table WORK.IMPORT has been dropped. NOTE: PROCEDURE SQL used (Total process time):       real time           0.00 seconds       user cpu time       0.00 seconds       system cpu time     0.00 seconds       memory              45.56k       OS Memory           27300.00k       Timestamp           02/24/2019 11:32:47 AM       Step Count                        32  Switch Count  2       Page Faults                       0       Page Reclaims                     58       Page Swaps                        0       Voluntary Context Switches        11       Involuntary Context Switches      0       Block Input Operations            0       Block Output Operations           0         77          78          79         FILENAME REFFILE '/home/shaziyaislam260/qfile_636864736100254912_124745_2.xlsx'; 80          81         PROC IMPORT DATAFILE=REFFILE 82         DBMS=XLSX 83         OUT=WORK.IMPORT; 84         GETNAMES=YES; 85         RUN;  NOTE: The import data set has 26 observations and 2 variables. NOTE: WORK.IMPORT data set was successfully created. NOTE: PROCEDURE IMPORT used (Total process time):       real time           0.00 seconds       user cpu time       0.01 seconds       system cpu time     0.00 seconds       memory              2603.31k       OS Memory           29864.00k       Timestamp           02/24/2019 11:32:47 AM       Step Count                        33  Switch Count  2       Page Faults                       0       Page Reclaims                     633       Page Swaps                        0       Voluntary Context Switches        13       Involuntary Context Switches      0       Block Input Operations            0       Block Output Operations           264         86          87         PROC CONTENTS DATA=WORK.IMPORT; RUN;  NOTE: PROCEDURE CONTENTS used (Total process time):       real time           0.04 seconds       user cpu time       0.04 seconds       system cpu time     0.00 seconds       memory              2358.90k       OS Memory           29100.00k       Timestamp           02/24/2019 11:32:47 AM       Step Count                        34  Switch Count  0       Page Faults                       0       Page Reclaims                     290       Page Swaps                        0       Voluntary Context Switches        0       Involuntary Context Switches      6       Block Input Operations            0       Block Output Operations           16         88          89          90         %web_open_table(WORK.IMPORT); 91         proc import datafile  =  '/home/shaziyaislam260/qfile_636864736100254912_124745_2.xlsx' 92          out  =  petro_excel 93          dbms  =  xlsx 94          replace 95          ; 96         run;  NOTE: The import data set has 26 observations and 2 variables. NOTE: WORK.PETRO_EXCEL data set was successfully created. NOTE: PROCEDURE IMPORT used (Total process time):       real time           0.00 seconds       user cpu time       0.01 seconds       system cpu time     0.00 seconds       memory              2607.50k       OS Memory           31144.00k       Timestamp           02/24/2019 11:32:47 AM       Step Count                        35  Switch Count  2       Page Faults                       0       Page Reclaims                     599       Page Swaps                        0       Voluntary Context Switches        16       Involuntary Context Switches      0       Block Input Operations            0       Block Output Operations           264         97          98          99          100        OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK; 112        
SAS files/code files/Data Exploration.ctk.log
  1          OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK; 70          71         /* Generated Code (IMPORT) */ 72         /* Source File: qfile_636864736100254912_124745_2.xlsx */ 73         /* Source Path: /home/shaziyaislam260 */ 74         /* Code generated on: 2/24/19, 3:56 PM */ 75          76         %web_drop_table(WORK.IMPORT); NOTE: Table WORK.IMPORT has been dropped. NOTE: PROCEDURE SQL used (Total process time):       real time           0.00 seconds       user cpu time       0.00 seconds       system cpu time     0.00 seconds       memory              45.56k       OS Memory           27300.00k       Timestamp           02/24/2019 11:32:47 AM       Step Count                        32  Switch Count  2       Page Faults                       0       Page Reclaims                     58       Page Swaps                        0       Voluntary Context Switches        11       Involuntary Context Switches      0       Block Input Operations            0       Block Output Operations           0         77          78          79         FILENAME REFFILE '/home/shaziyaislam260/qfile_636864736100254912_124745_2.xlsx'; 80          81         PROC IMPORT DATAFILE=REFFILE 82         DBMS=XLSX 83         OUT=WORK.IMPORT; 84         GETNAMES=YES; 85         RUN;  NOTE: The import data set has 26 observations and 2 variables. NOTE: WORK.IMPORT data set was successfully created. NOTE: PROCEDURE IMPORT used (Total process time):       real time           0.00 seconds       user cpu time       0.01 seconds       system cpu time     0.00 seconds       memory              2603.31k       OS Memory           29864.00k       Timestamp           02/24/2019 11:32:47 AM       Step Count                        33  Switch Count  2       Page Faults                       0       Page Reclaims                     633       Page Swaps                        0       Voluntary Context Switches        13       Involuntary Context Switches      0       Block Input Operations            0       Block Output Operations           264         86          87         PROC CONTENTS DATA=WORK.IMPORT; RUN;  NOTE: PROCEDURE CONTENTS used (Total process time):       real time           0.04 seconds       user cpu time       0.04 seconds       system cpu time     0.00 seconds       memory              2358.90k       OS Memory           29100.00k       Timestamp           02/24/2019 11:32:47 AM       Step Count                        34  Switch Count  0       Page Faults                       0       Page Reclaims                     290       Page Swaps                        0       Voluntary Context Switches        0       Involuntary Context Switches      6       Block Input Operations            0       Block Output Operations           16         88          89          90         %web_open_table(WORK.IMPORT); 91         proc import datafile  =  '/home/shaziyaislam260/qfile_636864736100254912_124745_2.xlsx' 92          out  =  petro_excel 93          dbms  =  xlsx 94          replace 95          ; 96         run;  NOTE: The import data set has 26 observations and 2 variables. NOTE: WORK.PETRO_EXCEL data set was successfully created. NOTE: PROCEDURE IMPORT used (Total process time):       real time           0.00 seconds       user cpu time       0.01 seconds       system cpu time     0.00 seconds       memory              2607.50k       OS Memory           31144.00k       Timestamp           02/24/2019 11:32:47 AM       Step Count                        35  Switch Count  2       Page Faults                       0       Page Reclaims                     599       Page Swaps                        0       Voluntary Context Switches        16       Involuntary Context Switches      0       Block Input Operations            0       Block Output Operations           264         97          98          99          100        OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK; 112        
SAS files/code files/download.pdf
2/24/2019 Results: Program 2
1/1
SAS files/code files/Log_ Program 2.pdf
2/24/2019 Log: Program 2
1/2
 
 1          OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;
 70         
 71         /* Generated Code (IMPORT) */
 72         /* Source File: qfile_636864736100254912_124745_2.xlsx */
 73         /* Source Path: /home/shaziyaislam260 */
 74         /* Code generated on: 2/24/19, 3:56 PM */
 75         
 76         %web_drop_table(WORK.IMPORT);
 77         
 78         
 79         FILENAME REFFILE '/home/shaziyaislam260/qfile_636864736100254912_124745_2.xlsx';
 80         
 81         PROC IMPORT DATAFILE=REFFILE
 82         DBMS=XLSX
 83         OUT=WORK.IMPORT;
 84         GETNAMES=YES;
 85         RUN;
 
 NOTE: The import data set has 26 observations and 2 variables.
 NOTE: WORK.IMPORT data set was successfully created.
 NOTE: PROCEDURE IMPORT used (Total process time):
       real time           0.00 seconds
       user cpu time       0.00 seconds
       system cpu time     0.00 seconds
       memory              2608.43k
       OS Memory           28840.00k
       Timestamp           02/24/2019 10:51:06 AM
       Step Count                        18  Switch Count  2
       Page Faults                       0
       Page Reclaims                     938
       Page Swaps                        0
       Voluntary Context Switches        14
       Involuntary Context Switches      0
       Block Input Operations            24
       Block Output Operations           264
       
 
 86         
 87         PROC CONTENTS DATA=WORK.IMPORT; RUN;
 
 NOTE: PROCEDURE CONTENTS used (Total process time):
       real time           0.04 seconds
       user cpu time       0.04 seconds
       system cpu time     0.01 seconds
       memory              2650.12k
       OS Memory           28588.00k
       Timestamp           02/24/2019 10:51:06 AM
       Step Count                        19  Switch Count  0
       Page Faults                       0
       Page Reclaims                     1109
       Page Swaps                        0
       Voluntary Context Switches        2
       Involuntary Context Switches      0
       Block Input Operations            0
       Block Output Operations           8
       
 
 88         
 89         
 90         %web_open_table(WORK.IMPORT);
 91         Proc print REFFILE
                       _______
                       22
                       76
 ERROR 22-322: Syntax error, expecting one of the following: ;, BLANKLINE, CONTENTS, DATA, DOUBLE, GRANDTOTAL_LABEL, GRANDTOT_LABEL, 
               GRAND_LABEL, GTOTAL_LABEL, GTOT_LABEL, HEADING, LABEL, N, NOOBS, NOSUMLABEL, OBS, ROUND, ROWS, SPLIT, STYLE, 
               SUMLABEL, UNIFORM, WIDTH.  
 ERROR 76-322: Syntax error, statement will be ignored.
 92         
 93         
 94         
 95         OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;
 96         ODS HTML CLOSE;
 97         &GRAPHTERM; ;*';*";*/;RUN;QUIT;
 NOTE: The SAS System stopped processing this step because of errors.
 NOTE: PROCEDURE PRINT used (Total process time):
       real time           0.00 seconds
       user cpu time       0.00 seconds
       system cpu time     0.00 seconds
       memory              69.12k
       OS Memory           28324.00k
       Timestamp           02/24/2019 10:51:06 AM
2/24/2019 Log: Program 2
2/2
       Step Count                        20  Switch Count  2
       Page Faults                       0
       Page Reclaims                     89
       Page Swaps                        0
       Voluntary Context Switches        12
       Involuntary Context Switches      0
       Block Input Operations            0
       Block Output Operations           0
       
 98         QUIT;RUN;
 99         ODS HTML5 (ID=WEB) CLOSE;
 100        
 101        ODS PDF (ID=WEB) CLOSE;
 NOTE: ODS PDF(WEB) printed 1 page to /saswork/SAS_workA9F00000DC50_odaws02-prod-sg/#LN00016.
 102        FILENAME _GSFNAME;
 NOTE: Fileref _GSFNAME has been deassigned.
 
 
 103        DATA _NULL_;
 104        RUN;
 
 NOTE: DATA statement used (Total process time):
       real time           0.00 seconds
       user cpu time       0.00 seconds
       system cpu time     0.00 seconds
       memory              316.68k
       OS Memory           22440.00k
       Timestamp           02/24/2019 10:51:06 AM
       Step Count                        21  Switch Count  0
       Page Faults                       0
       Page Reclaims                     32
       Page Swaps                        0
       Voluntary Context Switches        0
       Involuntary Context Switches      0
       Block Input Operations            0
       Block Output Operations           0
       
 
 105        OPTIONS VALIDMEMNAME=COMPAT;
 106        OPTIONS NOTES STIMER SOURCE SYNTAXCHECK;
 107        
SAS files/code files/One-Way ANOVA.ctk
 
     
         One-Way ANOVA
         A one-way analysis of variance (ANOVA) tests and provides graphs for differences among the means of a single categorical variable on a single continuous dependent variable.
         d4bcb606-8cbe-47de-bfbc-2eae932d5729
         GLM
         3.7
         
             SAS Studio Task Reference Guide
             
             
             The GLM Procedure
             
             
             SAS Tutorials
        
    
     
         
             
                 
                     Dependent variable:
                     Categorical variable:
                
            
        
         
             DATA
             OPTIONS
             DATA
             ROLES
             TESTS
             HOMOGENEITY OF VARIANCE
             Test:
             None
             Bartlett
             Brown and Forsythe
             Levene
             O'Brien
             Welch's variance-weighted ANOVA
             COMPARISONS
             Comparisons method:
             Bonferroni
             Duncan multiple range
             Dunnett two-tail
             Dunnett lower one-tail
             Dunnett upper one-tail
             Gabriel
             Ryan-Einot-Gabriel-Welch
             Nelson
             Scheffe
             Sidak
             Student-Newman-Keuls
             Least significant difference (LSD)
             Tukey
             None
             The LS-mean difference plot is not available with the Duncan multiple range comparison method
             The LS-mean difference plot is not available with the Gabriel comparison method
             The LS-mean difference plot is not available with the Ryan-Einot-Gabriel-Welch comparison method
             The LS-mean difference plot is not available with the Student-Newman-Keuls comparison method
             Control level:
             Significance level:
             0.10
             0.05
             0.01
             Use custom value
             Custom significance level:
             PLOTS
             Display plots:
             Default plots
             Selected plots
             Suppress all plots
             Box plot
             Means plot
             LS-mean difference plot
             Diagnostics plot
             Display as:
             Individual plots
             Panel of plots
             Maximum number of plot points:
             Default(5,000)
             10,000
             Use custom value
             No limit
             Custom maximum number of points:
            
             OUTPUT
             OUTPUT DATA SET
             Create observation statistics data set
             Data set name:
             Predicted Values
             Residuals
             Influence Statistics
             Standard Errors
             Predicted value
             Confidence intervals for individual predicted value
             Confidence intervals for mean predicted value
             Residual
             Studentized residual
             Studentized residual with current observation removed
             Standard error of residual
             Standard error of mean predicted value
             Standard error of individual predicted value
             Cook's D influence
             Covratio
             Dffits
             Leverage
             Confidence level:
             90%
             95%
             99%
             Use custom value
             Custom confidence level:
        
    
     
         
             
                 
            
             
                 
                 
            
        
         
             
                 
                     
                     
                     
                     
                     
                
                 
            
             
                 
                     
                     
                     
                     
                     
                     
                     
                     
                     
                     
                     
                     
                     
                     
                
                 
                 
                     
                     
                     
                     
                
                 
            
             
                 
                     
                     
                     
                
                 
                 
                 
                 
                 
                 
                 
                 
                 
                     
                     
                
                 
                     
                     
                     
                     
                
                 
            
        
         
             
                 
                 
                 
                     
                     
                     
                     
                         
                         
                         
                         
                    
                     
                
                 
                     
                     
                     
                
                 
                     
                     
                     
                
                 
                     
                     
                     
                     
                
            
        
    
     
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
             
             
             
             
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
        
         
             
             
             
             
             
             
             
             
             
             
            
        
         
             
             
        
         
             
             
        
    
     
         
             Select at least one statistic to include in the output data set.
        
    
     
Title; 
ods noproctitle;
ods graphics / imagemap=on;
proc glm data=$dataset
#if($plotsCombo == 'suppressPlotsChoice') plots=none
#else
   #if (!($boxPlot == 1 || $diagnosticPlots == 1 || $meanPlot == 1 || ($diffPlot && $diffPlot == 1)))  
   #else 
      #set($bool_maxpoints = 0)#if (!($maxpointsCombo == 'maxpointsDefault'))#set($bool_maxpoints = 1)#end
#if (!($plotsCombo == 'defaultPlotsChoice' && $bool_maxpoints == 0))
plots(
      #if($bool_maxpoints == 1) maxpoints=
        #if ($maxpointsCombo == 'maxpoints10000')10000
         #elseif ($maxpointsCombo == 'maxpointsNoLimit')none
         #elseif ($maxpointsCombo == 'maxpointsSpecify')$maxpointsValue
         #end
      #end
      #if ($plotsCombo == 'selectedPlotsChoice') only#end
   )
   #if ($plotsCombo == 'selectedPlotsChoice' && ($diagnosticPlots == 1 || $boxPlot == 1))=(
      #if ($boxPlot == 1)boxplot#end
      #if ($diagnosticPlots == 1) diagnostics#if($unpackDiagnosticPlots == 'unpackChoice')(unpack)#end#end
)
   #end
   #end
#end
#end
;
#if ($dataset.getWhereClause() != '')
   where $dataset.getWhereClause();
#end
   class #foreach( $item in $independentVariable ) $item #end;
   model #foreach( $item in $dependentVariable ) $item #end = #foreach( $item in $independentVariable ) $item #end;
#set($meansCompare=0)
#if ( $comparisonCombo == "DuncanChoice" || $comparisonCombo == "gabrielChoice" || $comparisonCombo == "regwChoice" || 
   $comparisonCombo == "snkChoice" ) #set($meansCompare=1)#end
#if ( $meansCompare==1  || !($hovTest == "hovTestNone") || $welchANOVA == "1") 
  means #foreach( $item in $independentVariable ) $item #end / 
   #if ( $meansCompare==1)
      #if ( $comparisonCombo == "DuncanChoice" ) duncan
      #elseif ( $comparisonCombo == "gabrielChoice" ) gabriel
      #elseif ( $comparisonCombo == "regwChoice" ) regwq
      #elseif ( $comparisonCombo == "snkChoice" ) snk
      #end
 alpha=#if($alpha=="alpha_05") .05 #elseif ($alpha=="alpha_01") .01 #elseif ($alpha=="alpha_10") .10 #else $alphaValue #end
   #end
   #if ($hovTest == "obrien") hovtest=obrien
   #elseif ($hovTest == "levene") hovtest=levene
   #elseif ($hovTest == "bartlett") hovtest=bartlett
   #elseif ($hovTest == "brownForsythe") hovtest=bf
   #end
   #if ($welchANOVA == "1" ) welch #end
 plots=none;
#end
#set($lsmeansCompare=0)
#if ($comparisonCombo == "bonferroniChoice" || $comparisonCombo == 'DunnettTwoTailed'  ||
     $comparisonCombo == 'DunnettLowerOneTailed' || $comparisonCombo == 'DunnettUpperOneTailed' || 
     $comparisonCombo == "nelsonChoice"|| $comparisonCombo == "scheffeChoice" || 
     $comparisonCombo == "lsdChoice" ||
     $comparisonCombo == "sidakChoice" || $comparisonCombo == "tukeyChoice" ) #set($lsmeansCompare=1)#end
#if ($lsmeansCompare == 1 || $meanPlot == 1 || $diffPlot == 1 || ($meansCompare==1 && $diffPlot == 1))
   lsmeans #foreach( $item in $independentVariable ) $item #end /
   #if ($lsmeansCompare == 1)
      #if     ( $comparisonCombo == "bonferroniChoice") adjust=bon pdiff
      #elseif ( $comparisonCombo == "DunnettTwoTailed" ) adjust=dunnett pdiff=control($CTMUtil.quoteString($dunnettControlLevel))
      #elseif ( $comparisonCombo == "DunnettLowerOneTailed" ) adjust=dunnett pdiff=controll($CTMUtil.quoteString($dunnettControlLevel))
      #elseif ( $comparisonCombo == "DunnettUpperOneTailed" ) adjust=dunnett pdiff=controlu($CTMUtil.quoteString($dunnettControlLevel))
      #elseif ( $comparisonCombo == "scheffeChoice" ) adjust=scheffe pdiff
      #elseif ( $comparisonCombo == "nelsonChoice" ) adjust=nelson pdiff
      #elseif ( $comparisonCombo == "sidakChoice" ) adjust=sidak pdiff
      #elseif ( $comparisonCombo == "tukeyChoice" ) adjust=tukey pdiff
      #elseif ( $comparisonCombo == "lsdChoice" ) adjust=t pdiff
      #end
   #end
   #if ($lsmeansCompare == 1 || ($meansCompare==1 && $diffPlot == 1))
 alpha=#if($alpha=="alpha_05") .05 #elseif ($alpha=="alpha_01") .01 #elseif ($alpha=="alpha_10") .10 #else $alphaValue #end
   #end
   #if ($plotsCombo == 'selectedPlotsChoice' && ($meanPlot == 1 || $diffPlot == 1)) plots=(
      #if ($meanPlot == 1) meanplot#end
      #if ($diffPlot == 1) diffplot#end
   )
   #elseif ($plotsCombo == 'defaultPlotsChoice')
   #else plots=none
   #end
;
#end
#if ($outputDS == '1')              
   output out=$outputDSName
   #if ($predicted=='1') p=predicted#end
   #if ($lcl=='1') lcl=lcl ucl=ucl#end
   #if ($clm=='1') lclm=lclm uclm=uclm#end
   #if ($residual=='1') r=residual#end
   #if ($student=='1') student=student#end
   #if ($rstudent=='1') rstudent=rstudent#end
   #if ($stdr=='1') stdr=stdr#end
   #if ($stdi=='1') stdi=stdi#end
   #if ($stdp=='1') stdp=stdp#end
   #if ($cookd=='1') cookd=cookd#end
   #if ($covratio=='1') covratio=covratio#end
   #if ($dffits=='1') dffits=dffits#end
   #if ($h=='1') h=leverage#end
   #if ($lcl == 1 || $clm == 1)
## Calculate alpha from confidence
      #if     ($outputConfidence == "confidence95") #set( $clAlpha = 0.05 )
      #elseif ($outputConfidence == "confidence99") #set( $clAlpha = 0.01 )
      #elseif ($outputConfidence == "confidence90") #set( $clAlpha = 0.10 )
      #else #set($clAlpha="%sysevalf((100-$confidenceValue)/100)") 
      #end
 /alpha=$clAlpha
   #end
;
#end
run; quit;
     
{"unpackChoice":"Individual plots","dffits":"","rolesGroup":"ROLES","alpha_01":"0.01","influenceStatsGroup":"Influence Statistics","brownForsythe":"Brown and Forsythe","maxpointsSpecify":"Use custom value","diagnosticPlots":"0","meanPlot":"1","tukeyChoice":"Tukey","duncanNote":"The LS-mean difference plot is not available with the Duncan multiple range comparison method","alpha_05":"0.05","maxpointsValue":"","gabrielNote":"The LS-mean difference plot is not available with the Gabriel comparison method","outputTab":"OUTPUT","rstudent":"","lcl":"","stdi":"","student":"","hovTestGroup":"HOMOGENEITY OF VARIANCE","stdp":"","nelsonChoice":"Nelson","dunnettControlLevel":"59.529898245","stdr":"","stderrStatsGroup":"Standard Errors","scheffeChoice":"Scheffe","sasVersion":"9.450000000000001","welchANOVA":"1","alpha_10":"0.10","unpackDiagnosticPlots":"panelChoice","independentVariable":"json:[{\"value\":\"BOILED\",\"type\":\"Numeric\",\"length\":8,\"format\":\"BEST.\",\"informat\":\"\",\"className\":\"RoleObject\"}]","suppressPlotsChoice":"Suppress all plots","dataTab":"DATA","optionsTab":"OPTIONS","residual":"","snkNote":"The LS-mean difference plot is not available with the Student-Newman-Keuls comparison method","selectedPlotsChoice":"Selected plots","clm":"","residualStatsGroup":"Residuals","gabrielChoice":"Gabriel","snkChoice":"Student-Newman-Keuls","hovTest":"levene","sidakChoice":"Sidak","maxpoints10000":"10,000","plotsGroup":"PLOTS","regwChoice":"Ryan-Einot-Gabriel-Welch","maxpointsNoLimit":"No limit","outputConfidence":"confidence95","comparisonCombo":"tukeyChoice","boxPlot":"1","obrien":"O'Brien","dependentVariable":"json:[{\"value\":\"RAW\",\"type\":\"Numeric\",\"length\":8,\"format\":\"BEST.\",\"informat\":\"\",\"className\":\"RoleObject\"}]","diffPlot":"1","bonferroniChoice":"Bonferroni","outputGroup":"OUTPUT DATA SET","DunnettUpperOneTailed":"Dunnett upper one-tail","outputDSName":"Oneway_stats","plotsCombo":"defaultPlotsChoice","outputDS":"","regwNote":"The LS-mean difference plot is not available with the Ryan-Einot-Gabriel-Welch comparison method","maxpointsCombo":"maxpointsDefault","alphaValue":"","comparisonsGroup":"COMPARISONS","alpha":"alpha_05","defaultPlotsChoice":"Default plots","sasOS":"Linux LIN X64 3.10.0-693.21.1.el7.x86_64","testsGroup":"TESTS","noComparison":"None","dataGroup":"DATA","confidence95":"95%","hovTestNone":"None","panelChoice":"Panel of plots","covratio":"","DunnettLowerOneTailed":"Dunnett lower one-tail","confidenceValue":"95","maxpointsDefault":"Default(5,000)","confidence90":"90%","predicted":"","levene":"Levene","confidence99":"99%","DuncanChoice":"Duncan multiple range","h":"","bartlett":"Bartlett","lsdChoice":"Least significant difference (LSD)","alphaSpecify":"Use custom value","dataset":{"librarytable":"WORK.PETRO_EXCEL"},"cookd":"","confidenceSpecify":"Use custom value","predictedStatsGroup":"Predicted Values","DunnettTwoTailed":"Dunnett two-tail"}
SAS files/code files/Partial Least Squares Regression.ctk
 
     
         Partial Least Squares Regression
         The Partial Least Squares task performs partial least squares analysis. It also performs principal components regression and reduced rank regression. These techniques combine dimension reduction of the predictors and/or dependent variables with predictive modeling.
         1c220ff6-b860-43f6-a185-a7ed1fa2ae51
         PLS
         3.7
         
             SAS Studio Task Reference Guide
             
             
             The PLS Procedure
             
             
             SAS Tutorials
        
    
     
         
             
                 
                     Dependent variables:
                     Continuous variables:
                     Classification variables:
                     Group analysis by:
                
            
        
         
             DATA
             OPTIONS
             DATA
             ROLES
             ADDITIONAL ROLES
             Explanatory Variables
             Treatment of Missing Values
             An observation is excluded from the analysis if any variable in the model contains a missing value. In addition, an observation is excluded if any classification variable contains a missing value (regardless of whether the classification variable is used in the model).
             MODEL EFFECTS
             MODEL
             
             Center the responses and predictors
             METHODS
             Method:
             Partial least squares regression
             De Jong's SIMPLS
             Principal components regression
             Reduced rank regression
             Algorithm:

Assignment 3 The data (see Assignment 3 Excel file) represent phenol concentrations (arbitrary units) from control (raw) and boiled peanuts. A) In SAS (upload the SAS program in Blackboard under...

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