calculating the mean for each subj in r -


this question has answer here:

i have question regarding calculating means each subj.

i have dataframe follows:

   subj entropy n_gambles trial response   rt 1     0    high         2     0   sample 4205 2     0    high         2     0   sample  676 3     0    high         2     0     skip    0 4     0    high         2     1   sample  883 5     0    high         2     1   sample  697 6     0    high         2     1     skip    0 7     0    high         2     2   sample 1493 8     0    high         2     2   sample  507 9     0    high         2     2     skip    0 10    0    high         2     3   sample 1016

and want work out means of sampling each subj.

i have worked down here don't know code next.

note: proportion of sampling each subj different. 

  subj trial n_gambles entropy response n_sample 2497    0     0         2    high   sample        2 2498    1     0         2    high   sample        0 2499    2     0         2    high   sample        0 2500    3     0         2    high   sample        0 2501    4     0         2    high   sample       27 2502    5     0         2    high   sample        0 2503    6     0         2    high   sample        0 2504    7     0         2    high   sample        0 2505    8     0         2    high   sample       19 2506    9     0         2    high   sample        0 2507   10     0         2    high   sample        0

below codes i've far. 

rm(list=ls())  # import 'sub.csv' data file dataframe data_subj <- read.csv ('subj.csv') head (data_subj)  # import 'response.csv' data file dataframe data_response <- read.csv ('response.csv') head(data_response)  # merge 'response' , 'trial' data <- merge (data_subj, data_response, by='subj') head(data)   data <- as.data.frame(table(data$subj, data$trial, data$n_gambles, data$entropy, data$response)) colnames(data) <- c('subj', 'trial', 'n_gambles', 'entropy', 'response', 'n_sample')  # subset "sample" data <- data[ data$response == "sample",] head(data)

could please me out?

i'd expect output this: 

subj trial n_gambles entropy response n_sample  mean_sample/trials   0     0         2    high   sample        2                1     0         2    high   sample        0   2     0         2    high   sample        0   3     0         2    high   sample        0

this similar answer of earlier question: 

library(plyr) ddply(df,.(subj),summarize,mymean=(length(which(response=="sample")))/6)  subj   mymean 1    0 1.166667

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