Note Problem Statement-This is quite similar to using Proc Transpose using values in SAS. see http://analytics.ncsu.edu/sesug/2005/TU12_05.PDF
Diagram using geneplotter from R Graph Gallery
In R however this can be done as follow.
convert dataframe
Subject Item Score
1 Subject 1 Item 1 1
2 Subject 1 Item 2 0
3 Subject 1 Item 3 1
4 Subject 2 Item 1 1
5 Subject 2 Item 2 1
6 Subject 2 Item 3 0
1 Subject 1 Item 1 1
2 Subject 1 Item 2 0
3 Subject 1 Item 3 1
4 Subject 2 Item 1 1
5 Subject 2 Item 2 1
6 Subject 2 Item 3 0
to
Subject Item 1 Item 2 Item 3 Item 4
1 Subject 1 1 0 1 1
5 Subject 2 1 1 0 0
1 Subject 1 1 0 1 1
5 Subject 2 1 1 0 0
Note- I am using http://www.inside-r.org/pretty-r/tool for auto-generating the color coded R Code.
library("reshape2") tDat.m<- melt(tDat)tDatCast<- acast(tDat.m,Subject~Item)
and that's it!
Another way (this one is not recommended as it seems to take longer
and more memory)
Related Articles
- How to Transpose a Table in SQL (brighthub.com)
- Example 8.11: violin plots (r-bloggers.com)
- http://support.sas.com/resources/papers/proceedings09/060-2009.pdf Learn the Basics of PROC TRANSPOSE
DECISION STATS 