On Sep 17, 2010, at 11:15 AM, btpagano wrote:
Here it is...
str(Males$BMXHT)
num [1:2801] 168 161 180 182 169 ...
str(Females$BMXHT)
num [1:3440] 162 159 164 165 159 ...
str(Males$yourWeight)
num [1:2801] 1148 788 10298 25115 8691 ...
str(Females$myWeight)
num [1:3440] 9169 4964 2608 2806 907 ...
I want to combine Males$BMXHT with Females$BMXHT.
If you have already gone to the trouble of splitting the data into
separate male and female dataset (an entirely unnecessary and probably
wasteful step I might add) then you can recombine particular vectors
with the c() function ("c" for concatenate).
I also want to combine
Males$yourWeight and Females$myWeight in a similar way so that I can
use the
wtd.quantile() command in the following way:
wtd.quantile(Everybody$BMXHT, weights=ourWeight, 0.05)
I hope you are using the weights argument correctly. You need to be
clear about whether these are: sampling weights, frequency weights
(which I believe is the correct form for this particular function) or
weights in pounds (and that would make no sense but the HT and Weight
terminology made me ask).
wtd.quantile( c(Males$BMXHT,Females$BMXHT) ,
weights= c(Males$yourWeight, Females$myWeight), 0.05)
If those values had been in the same object with a sex variable, there
would have been much more efficient methods available.
I know that this might seem like some elementary stuff, but I'm not
too
familiar with R yet. I hope to become much better in the future.
I fear that you have some unlearning of inefficient statistical
practices that were taught you in Minitab classes.
Thanks for all of your help,
Brian
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