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I would like to create a conditional for average and standard deviation of a given group. I usually do this by dividing subsets, but as there are many categories I thought would be better with a parole. I put together a code to test. It runs but does not print the results on the screen.
if( males[,2]<=22.11 && 18<=males) {
print(mean(estatura))
print(mean(CVF))
print(mean(VEF1))
}
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If I understood, you can make a cutout of the bank, with the lines that obey the condition and take average, Sv-pad...
Consider below the d.orig the original data:
condicao <- males[, 2] >= 18 & males[, 2] <= 22.11
d.cond <- d.orig[condicao, ]
mean(d.cond$estatura)
You can use the dplyr::filter
library(dplyr)
d.cond <- d.orig %>%
filter(variavel1 >= 18 & variavel2 <= 22.11) %>%
summarise(media = mean(variavel3))
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Can you please, edit the question with the departure of
dput(males)or, if the base is too large,dput(head(males, 20))? And tell how groups are defined.– Rui Barradas