search for: deshape

Displaying 4 results from an estimated 4 matches for "deshape".

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2005 Aug 30
2
crosstab for n-way contingency tables
Dear list. New to R, I'm looking for a way of using crosstab to output low-dimensional (higher than 2) contingency tables (frequencies, per-cents by rows, % by columns, mean, quantiles....) I'm looking for something of the following sort dataframe: singers, categorical variates: voice category (soprano,mezzo-soprano, ...) , voice type( drammatic, spinto, lirico-spinto, lirico,
2005 Sep 22
1
Reshape package: new version 0.5
...s very much pivot table inspired, and it (hopefully) makes it very easy to view your data the way you want. You can find out more at http://had.co.nz/reshape The big news in this version of reshape is that I've renamed all the functions so they no longer conflict with any built in functions - deshape is now melt (think liquid data) and reshape is now cast (think solidifying data into the form you want). What else is new? * recast melts and casts your data in one step * column naming bugs fixed * easily display all margins with the argument margins=T in cast Please let me know what you thi...
2005 Sep 22
1
Reshape package: new version 0.5
...s very much pivot table inspired, and it (hopefully) makes it very easy to view your data the way you want. You can find out more at http://had.co.nz/reshape The big news in this version of reshape is that I've renamed all the functions so they no longer conflict with any built in functions - deshape is now melt (think liquid data) and reshape is now cast (think solidifying data into the form you want). What else is new? * recast melts and casts your data in one step * column naming bugs fixed * easily display all margins with the argument margins=T in cast Please let me know what you thi...
2005 Sep 20
2
Transform variable number of rows per subject to column variables?
Hello, I am very new to R, but I am having trouble with my dataset. I have a data frame where a subject has a variable number of multiple observations for each row, which I wish the transform these observations to column variables. An example of the data frame ID TEST.A TEST.B 1 10 1 1 13 2 1 11 1 2 15 2 2 17 3 And I wish to transform it to the following: ID TEST.A1 TEST.A2 TEST.A3 TEST.B1