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
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