> On Jul 29, 2016, at 5:08 PM, Jun Shen <jun.shen...@gmail.com> wrote:
> 
> Thanks Jeff/David for the reply. I wasn't clear in the previous message. the 
> problem of using na.omit is it will omit the whole row where there is at 
> least one NA, even when some variables do have non-NA values. 

Did you actually run the example I offered,  or did you just guess at what 
would happen and complained? When applied only to a vector there is no such 
thing as a "column". 

What you are describing would only have happened if `na.omit` were applied to 
an object that was a dataframe. That was not what was offered in the example.

-- 
David.
> 
> For example: let's define a new function
> N <- function(x) length(x[!is.na(x)])
> 
> test <- 
> data.frame(ID=1:100,CL=rnorm(100),V1=rnorm(100),V2=rnorm(100),ALPHA=rnorm(100))
> test$CL[1] <- NA
> 
> do.stats(test, stats.func=c('mean','sd','median','min','max','N'), 
> summary.var=c('CL','V1', 'V2','ALPHA'))
> 
> gives
> 
>          mean    sd  median   min  max  N
> CL    -0.0232 0.918 -0.0786 -2.14 3.14 99
> V1    -0.0410 0.936 -0.1160 -2.86 2.67 99
> V2    -0.1760 0.978 -0.1490 -2.31 2.15 99
> ALPHA -0.1380 0.960 -0.2160 -2.41 2.20 99
> 
> 
> there is one non-missing value in V1,V2 and ALPHA is omitted.
> 
> 
> On Fri, Jul 29, 2016 at 2:29 AM, David Winsemius <dwinsem...@comcast.net> 
> wrote:
> 
> > On Jul 28, 2016, at 7:37 PM, Jun Shen <jun.shen...@gmail.com> wrote:
> >
> > Because in reality the NA may appear in one variable but not others. For
> > example for ID=1, CL may be NA but not for others, For ID=2, V1 may be NA
> > etc. To keep all the IDs and all the variables in one data frame, it's
> > inevitable to see some NA
> 
> That doesn't seem to acknowledge Newmiller's advice. In particular this would 
> have seemed to an obvious response to that suggestion:
> 
> do.stats <- function(data, stats.func, summary.var)
>           as.data.frame(signif(sapply(stats.func,function(func)
> mapply( func,  na.omit( data[summary.var]) )), 3))
> 
> 
> And please also heed the advice in the Posting Guide to use plain text.
> 
> --
> David.
> 
> 
> 
> >
> > On Thu, Jul 28, 2016 at 10:22 PM, Jeff Newmiller <jdnew...@dcn.davis.ca.us>
> > wrote:
> >
> >> 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]]
> >>>
> >>> ______________________________________________
> >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >>> https://stat.ethz.ch/mailman/listinfo/r-help
> >>> PLEASE do read the posting guide
> >>> http://www.R-project.org/posting-guide.html
> >>> and provide commented, minimal, self-contained, reproducible code.
> >>
> >>
> >
> >       [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> 
> David Winsemius
> Alameda, CA, USA
> 
> 

David Winsemius
Alameda, CA, USA

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