How to find percentile in r with many cateogories in a dataset? -


my dataset looks similar this:

category   value1   value2              19      143              12      124              21      130          b       23      323        b       24      323        b       23      342        b       24      233        b       27      234        c       28      212        c       29      233              d       11      365        d       12      323        d       13      344

this dataset has many categories viz. a,b,c,d etc , 2 columns

how can find out 90th percentile of these values in category-wise?

output should in pattern:

enter image description here

try

library(dplyr) df1 %>%    group_by(category) %>%     summarise_each(funs(quantile(., 0.90))) #    category value1 value2 #1          20.6  140.4 #2        b   25.8  334.4 #3        c   28.9  230.9 #4        d   12.8  360.8

or

library(data.table) setdt(df1)[, lapply(.sd, fun=quantile, prob=0.90), category]

or using aggregate base r

aggregate(.~category, df1, fun=quantile, prob=0.90)

data

df1 <- structure(list(category = c("a", "a", "a", "b", "b", "b", "b",  "b", "c", "c", "d", "d", "d"), value1 = c(19, 12, 21, 23, 24,  23, 24, 27, 28, 29, 11, 12, 13), value2 = c(143, 124, 130, 323,  323, 342, 233, 234, 212, 233, 365, 323, 344)), .names = c("category",  "value1", "value2"), row.names = c(na, -13l), class = "data.frame")

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