Weighted descriptives by levels of another variables

I've noticed that R has a number of very useful functions for  
obtaining descriptive statistics on groups of variables, including  
summary {stats}, describe {Hmisc}, and describe {psych}, but none that  
I have found is able to provided weighted descriptives of subsets of a  
data set (ex. descriptives for both males and females for age, where  
accurate results require use of sampling weights).

Does anybody know of a function that does this?

What I've looked at already:

I have looked at describe.by {psych} which will give descriptives by  
levels of another variable (eg. mean ages of males and females), but  
does not accept sample weights.

I have also looked at describe {Hmisc} which allows for weights, but  
has no functionality for subdivision.

I tried using a by() function with describe{Hmisc}:

by(cbind(my, variables, here), division.variable, describe,  
weights=weight.variable)

but found that this returns an error message stating that the  
variables to be described and the weights variable are not the same  
length:

Error in describe.vector(xx, nam[i], exclude.missing =  
exclude.missing,  :
   length of weights must equal length of x
In addition: Warning message:
In present & !is.na(weights) :
   longer object length is not a multiple of shorter object length

This comes because the by() function passes down a subset of the  
variables to be described to describe(), but not a subset of the  
weights variable.  describe() then searches the whatever data set is  
attached in order to find the weights variables, but this is in its  
original (i.e. not subsetted) form.  Here is an example using the  
ChickWeight dataset that comes in the "datasets" package.

data(ChickWeight)
attach(ChickWeight)
library(Hmisc)
#this gives descriptive data on the variables "Time" and "Chick" by  
levels of "Diet")
by(cbind(Time, Chick), Diet, describe)
#trying to add weights, however, does not work for reasons described  
above
wgt=rnorm(length(Chick), 12, 1)
by(cbind(Time, Chick), Diet, describe, weights=wgt)

Again, my question is, does anybody know of a function that combines  
both the ability to provided weighted descriptives with the ability to  
subdivide by the levels of some other variable?


Andrew Miles
Department of Sociology
Duke University




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I've noticed that R has a number of very useful functions for  
obtaining descriptive statistics on groups of variables, including  
summary {stats}, describe {Hmisc}, and describe {psych}, but none that  
I have found is able to provided weighted descriptives of subsets of a  
data set (ex. descriptives for both males and females for age, where  
accurate results require use of sampling weights).

Does anybody know of a function that does this?

What I've looked at already:

I have looked at describe.by {psych} which will give descriptives by  
levels of another variable (eg. mean ages of males and females), but  
does not accept sample weights.

I have also looked at describe {Hmisc} which allows for weights, but  
has no functionality for subdivision.

I tried using a by() function with describe{Hmisc}:

by(cbind(my, variables, here), division.variable, describe,  
weights=weight.variable)

but found that this returns an error message stating that the  
variables to be described and the weights variable are not the same  
length:

Error in describe.vector(xx, nam[i], exclude.missing =  
exclude.missing,  :
   length of weights must equal length of x
In addition: Warning message:
In present & !is.na(weights) :
   longer object length is not a multiple of shorter object length

This comes because the by() function passes down a subset of the  
variables to be described to describe(), but not a subset of the  
weights variable.  describe() then searches the whatever data set is  
attached in order to find the weights variables, but this is in its  
original (i.e. not subsetted) form.  Here is an example using the  
ChickWeight dataset that comes in the "datasets" package.

data(ChickWeight)
attach(ChickWeight)
library(Hmisc)
#this gives descriptive data on the variables "Time" and "Chick" by  
levels of "Diet")
by(cbind(Time, Chick), Diet, describe)
#trying to add weights, however, does not work for reasons described  
above
wgt=rnorm(length(Chick), 12, 1)
by(cbind(Time, Chick), Diet, describe, weights=wgt)

Again, my question is, does anybody know of a function that combines  
both the ability to provided weighted descriptives with the ability to  
subdivide by the levels of some other variable?


Andrew Miles
Department of Sociology
Duke University




	[[alternative HTML version deleted]]