How to average and count in each group and creating a new table

Question

I have a Dataset, I want to calculate average of KPI, CPM and CPC column and count times column in each score group(1-10).

How to create a new table according results?

Answer 1

assuming your data is in a data.frame called df, do you just want this?

library(data.table)
setDT(df)[ ,.(lapply(.SD, mean), .N), by = score, .SDcols = c("KPI", "CPM", "CPC")]

or do you want this?

library(dplyr)
group_by(df, score) %>%
    summarise(Mean_KPI = mean(KPI),
              Mean_CPC = mean(CPC),
              Mean_CPM = mean(CPM),
              Sum_times = sum(times))