How do I convert long to wide format in R?
To convert long data back into a wide format, we can use the cast function. There are many cast functions, but we will use the dcast function because it is used for data frames.
What is _name_ in SAS?
SAS automatic variable _NAME_ contains the name of the variable being transposed.
What is long format in R?
When there are multiple measurements of the same subject, across time or using different tools, the data is often described as being in “wide” format if there is one observation row per subject with each measurement present as a different variable and “long” format if there is one observation row per measurement (thus.
How do you use the transpose function in SAS?
The general format of PROC TRANSPOSE is: PROC TRANSPOSE DATA=Dataset-name OUT=New-dataset-name; BY variable(s); COPY variable(s); ID variable; VAR variable(s); RUN; In the SAS code above: The PROC TRANSPOSE statement tells SAS to execute the transpose procedure on an existing dataset called Dataset-name .
How to convert data from wide format to long format in R?
You want to do convert data from a wide format to a long format. Many functions in R expect data to be in a long format rather than a wide format. Programs like SPSS, however, often use wide-formatted data. There are two sets of methods that are explained below: gather () and spread () from the tidyr package.
How to reshape data in SAS?
One way to reshape data in SAS is using PROC TRANSPOSE. List the columns that need to be reshaped in the var statement. Next in the by statement list the columns in the wide data that should remain in the long data.
How to transpose data from wide to long format?
Transpose the variables from wide to long format **/ proc transpose data =wide out=long1 (rename = ( Col1=Value)) name=Account; by Subject; /** for each subject **/ var SavBal CheckBal Mortgage; /** make a row for these variables **/ run;
How do I reshape variables in base R?
While base R has a reshape function, we think it’s easier to use the reshape2 or tidyr packages. The reshape2 package has the melt function. The basic way to use it is to indicate the id.vars. These are the variables that will remain after reshaping. All variables not listed as id.vars are reshaped.