[R] Rcmdr numSummary: means of multiple variables without grouping
John Fox
jfox at mcmaster.ca
Wed Nov 23 00:16:11 CET 2011
Dear Boris,
This bug is traceable to a change in the mean() function in R and is fixed in the current version (1.7-3) of the Rcmdr package on CRAN.
Best,
John
------------------------------------------------
John Fox
Sen. William McMaster Prof. of Social Statistics
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
http://socserv.mcmaster.ca/jfox/
On Tue, 22 Nov 2011 21:26:41 +0100
"Boris Mayer" <bocaboa3 at googlemail.com> wrote:
> Hello there,
>
>
>
> when using the function numSummary in Rcmdr and selecting more than one
> variable (without grouping), the grand mean across all variables is returned
> for each variable instead of the mean of each single variable. However, this
> happens only for the mean, and not for sd, quantiles and na.
>
>
>
> This is the output:
>
>
>
> > numSummary(dataset1 [,c("var1", "var2")],
>
> + statistics=c("mean", "sd", "quantiles"), quantiles=c(0,.25,.5,.75,1))
>
> mean sd 0% 25% 50% 75% 100% n NA
>
> var1 15.58491 4.154637 10 14 15 19.5 28 54 0
>
> var2 15.58491 5.904053 5 10 15 18.5 30 52 2
>
>
>
>
>
> When using a grouping variable, everything is fine:
>
>
>
>
>
> > numSummary(dataset1 [,c("var1", "var2")],
>
> + groups= dataset1$gender, statistics=c("mean", "sd", "quantiles"),
>
> + quantiles=c(0,.25,.5,.75,1))
>
>
>
> Variable: var1
>
> mean sd 0% 25% 50% 75% 100% n NA
>
> male 16.57895 4.634602 10 14 16 20 28 19 0
>
> female 16.28571 3.937538 10 14 15 18 28 35 0
>
>
>
> Variable: var2
>
> mean sd 0% 25% 50% 75% 100% n NA
>
> male 14.72222 5.442810 8 10 14 15.0 28 18 1
>
> female 14.76471 6.213664 5 10 15 19.5 30 34 1
>
>
>
>
>
>
>
> Any ideas how to get separate means for multiple variables in numSummary
> without grouping?
>
>
>
> I am using R 2.14.0 and Rcmdr 1.7.2 on Windows 7 Professional.
>
>
>
> Thanks in advance!
>
>
>
> Boris
>
>
>
>
>
>
> [[alternative HTML version deleted]]
>
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