Why not remove it yourself before passing it to those functions?
--
Sent from my phone. Please excuse my brevity.
On July 28, 2016 5:51:47 PM PDT, Jun Shen <jun.shen...@gmail.com> wrote:
>Dear list,
>
>I write a small function to calculate multiple stats on multiple
>variables
>and export in a format exactly the way I want. Everything seems fine
>until
>NA appears in the data.
>
>Here is my function:
>
>do.stats <- function(data, stats.func, summary.var)
> as.data.frame(signif(sapply(stats.func,function(func)
>mapply(func,data[summary.var])),3))
>
>A test dataset:
>test <-
>data.frame(ID=1:100,CL=rnorm(100),V1=rnorm(100),V2=rnorm(100),ALPHA=rnorm(100))
>
>a command like the following
>do.stats(test, stats.func=c('mean','sd','median','min','max'),
>summary.var=c('CL','V1', 'V2','ALPHA'))
>
>gives me
>
> mean sd median min max
>CL 0.1030 0.917 0.0363 -2.32 2.47
>V1 -0.0545 1.070 -0.2120 -2.21 2.70
>V2 0.0600 1.000 0.0621 -2.80 2.62
>ALPHA -0.0113 0.919 0.0284 -2.35 2.31
>
>
>However if I have a NA in the data
>test$CL[1] <- NA
>
>The same command run gives me
> mean sd median min max
>CL * NA NA NA NA NA*
>V1 -0.0545 1.070 -0.2120 -2.21 2.70
>V2 0.0600 1.000 0.0621 -2.80 2.62
>ALPHA -0.0113 0.919 0.0284 -2.35 2.31
>
>I know this is because those functions (mean, sd etc.) all have
>na.rm=F by default. How can I
>
>pass na.rm=T to all these functions without manually redefining those
>stats functions
>
>Appreciate any comment.
>
>Thanks for your help.
>
>
>Jun
>
> [[alternative HTML version deleted]]
>
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