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format.pval () and printCoefmat ()

Hi Pradip,

It this is just formatting issue, it is possible to do that with ?formatC() or ?sprintf(), but it may change those variables from numeric to character.
One possibilty from `res`:
res<-data.frame(dat1[,1:2],read.table(text=Lines2,header=TRUE))

varsNum<-sapply(res,is.numeric)
res[varsNum]<-lapply(res[varsNum],round,digits=3)
#Here, the numeric columns with digits<3 are not changed, but the ones with >3 were all changed to digits3.

As I mentioned, sprintf() changes the number of digits
?as.data.frame(do.call(cbind,lapply(res[varsNum],function(x) sprintf("%.3f",x))))
#?? mean_level1 mean_level2 rel_diff p_mean cohens_d
#1?????? 18.700????? 11.910??? 0.574? 0.000??? 0.175
#2?????? 18.700????? 14.460??? 0.297? 0.000??? 0.110
#3?????? 18.700????? 13.540??? 0.384? 0.000??? 0.134

A.K.





----- Original Message -----
From: "Muhuri, Pradip (SAMHSA/CBHSQ)" <Pradip.Muhuri at samhsa.hhs.gov>
To: arun <smartpink111 at yahoo.com>
Cc: R help <r-help at r-project.org>; David Winsemius <dwinsemius at comcast.net>
Sent: Saturday, December 15, 2012 10:12 AM
Subject: RE: [R] format.pval () and printCoefmat ()

Dear Arun and David,

I am so grateful to you for all your help with the code.? Thanks and regards, Pradip


Arun - All this? is very helpful.? In general, I can follow the code. I only have the following questions:

What changes in the code would be required to have 3 places after decimal for all numeric variables in the "res" data frame?

Thanks,

Pradip



####### below is the display of the data from Lines1, Lines2, and res
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?  Lines1
1? ? mean_level1 mean_level2 rel_diff p_mean cohens_d? 
2 1? ? ?  18.744? ? ? 11.911? ? 0.574?  0.00? ? 0.175? 
3 2? ? ?  18.744? ? ? 14.455? ? 0.297?  0.00? ? 0.110? 
4 3? ? ?  18.744? ? ? 13.540? ? 0.384?  0.00? ? 0.133? 
5 4? ? ?  18.744? ? ?  6.002? ? 2.123?  0.00? ? 0.333? 
6 5? ? ?  18.744? ? ?  5.834? ? 2.213?  0.00? ? 0.349?
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?  Lines2
1? ? mean_level1 mean_level2 rel_diff p_mean cohens_d
2 1? ? ?  18.744? ? ? 11.911? ? 0.574?  0.00? ? 0.175
3 2? ? ?  18.744? ? ? 14.455? ? 0.297?  0.00? ? 0.110
4 3? ? ?  18.744? ? ? 13.540? ? 0.384?  0.00? ? 0.133
5 4? ? ?  18.744? ? ?  6.002? ? 2.123?  0.00? ? 0.333
6 5? ? ?  18.744? ? ?  5.834? ? 2.213?  0.00? ? 0.349
? contrast_level1 contrast_level2 mean_level1 mean_level2 rel_diff p_mean cohens_d
1? ? ? ? ? ? ? wh? ? ? ? ? ? 2+hi? ? ? ? 18.7? ? ?  11.91? ? 0.574? ? ? 0? ? 0.175
2? ? ? ? ? ? ? wh? ? ? ? ? ? 2+rc? ? ? ? 18.7? ? ?  14.46? ? 0.297? ? ? 0? ? 0.110
3? ? ? ? ? ? ? wh? ? ? ? ? ? aian? ? ? ? 18.7? ? ?  13.54? ? 0.384? ? ? 0? ? 0.133
4? ? ? ? ? ? ? wh? ? ? ? ? ? asan? ? ? ? 18.7? ? ? ? 6.00? ? 2.123? ? ? 0? ? 0.333
5? ? ? ? ? ? ? wh? ? ? ? ? ? blck? ? ? ? 18.7? ? ? ? 5.83? ? 2.213? ? ? 0? ? 0.349
6? ? ? ? ? ? ? wh? ? ? ? ? ? csam? ? ? ? 18.7? ? ? ? 7.93? ? 1.363? ? ? 0? ? 0.279