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Title: Pearson and Spearman Correlations

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Type of Tool SAS Macro
Title Pearson and Spearman Correlations
Programmer/Email AlanBostrom
Contributing Site UCSF
Description The corr macro produces Pearson and/or Spearman correlations with 95% confidence intervals and P-Values.

Variable lists can be crossed or paired.The second variable list can be omitted to generate all non-redundant pairs of the first list. Output can be sorted by variable name or according to the list order or by absolute Pearson or Spearman value. Missing values can be deleted on a listwise or pairwise basis.
Classification Graph Type
References
Datasets
Data
Software Program SAS
Software SAS
Macro Parameters DSName = data set name
IVar = 1st variable list (cannot be empty)
JVar = 2nd variable list (can be empty)
Pairs = X|P If X, then all IVar variables paired with all JVar variables. If P, then the 1st IVar variable is paired with the 1st JVar variable, etc. This option requires the two lists to have the same number of variables. This option is ignored if JVar list is empty. Default is X.
Missing = L|P If L, then listwise deletion of missing values, otherwise pairwise deletion of missing values. Default is P.
ByVars = any By variables
Print = Y|N. Default is Y.
Out = output data set
Label = Y|N to label printed output. Default is Y.
Sort = A|O|P|S. If A, then output is sorted by IVar variable name, then JVar name within IVar. If O, then the original order in IVar with each IVar paired with each JVar. If P, output is sorted by descending absolute Pearson correlation. If S, output is sorted by descending absolute Spearman correlation. Default is O.
R-Code - Attachment
R-Code
SAS-Code - Attachment UCSF_Correlation_Main Macro
SAS-Code
Stata-Code - Attachment
Stata-Code
Other Code - Attachment
Other Code
Called Data Manipulation
Called Tool/Utility
Called Checking Macro
Called Other
Creation-Date
Revision-Date March 20, 2009
Example Code
Example Output
SAS Examples
SAS_Example_Code
SAS_Example_Output
R Examples
R_Example_Code
R_Example_Output
Stats Examples
Special Features
Special Features Attached
Special Features Text
Notes1-Legend Section with calls to needed macros
Notes1
Notes2-Legend Macro call with fully specified parameters
Notes2
Notes3-Legend Section with definitions of global macro parameters
Notes3
Notes4-Legend Section with definitions of local macro variables
Notes4
See Also %corr(DSName=sample,IVar=Age Weight Height, JVar=DeltaWeight,ByVars=Treatment,Print=Y)

Three Pearson and Spearman correlations with 95% confidence limits and P-values will be produced for each level of Treatment. Missing values will be deleted on a pairwise basis and the order of the correlations will be the order given in the JVar list.
Checklists Checklist for Corr Macro
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This topic: CTSpedia > WebHome > StatToolsHome > StatToolsTopic010
Topic revision: 21 Jun 2012, MaryBanach
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