Calculating mean and standard deviation in R in one column depending on factors in other columns -


i calculate mean , standard deviation data in "skada" column depending in 3 other columns. table looks this: enter image description here

the "geografi" column have categorical variables: sv, nv, m, so, sv

the "gradering" column have categorical variables: 1, 2

the "plats" column have categorical variables: 20m, kant

in other words, means have mean , standard deviation sv,1,20m; sv,2,20m; sv,1,kant; sv,2,kant; nv,1,20m,...... , forth. have tips on how easily?

cheers!

you can use data.table: 

library(data.table)   setdt(data)[, list(skada_mean = mean(skada), skada_sd = sd(skada)),                   = c("geografi", "gardering", "plats")]

or dyplr: 

library(dplyr)  data %>%      group_by(geografi, gardering, plats) %>%      summarise(skada_mean = mean(value), skada_sd = sd(value))

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