Unlisting columns by groups

Question

I have a dataframe in the following format:

id | name               | logs                                  
---+--------------------+-----------------------         


        

Answer 1

This is a perfect case for tidyr:

library(tidyr)
library(dplyr)
dat %>% unnest(logs)

Answer 2

Another data.table option

library(data.table)
dt <- data.table(df)
dt[,.(id,logs=logs[[1]]), by = name]

Answer 3

Using listCol_l from splitstackshape could be a good option here as the column "logs" in the data.frame is a list

library(splitstackshape)
listCol_l(df, 'logs')

 #    id           name   logs_ul
 #1: 148        avihil1 Z47331572
 #2: 149         Niarfe Z47031573
 #3: 150 doug henderson F47531574
 #4: 150 doug henderson   B195945
 #5: 150 doug henderson   D186871
 #6: 150 doug henderson   S192939
 #7: 150 doug henderson   S182865
 #8: 150 doug henderson G19539045
 #9: 151       nick tan A47231575
#10: 151       nick tan   A190933
#11: 151       nick tan   C181859
#12: 152         madisp F47431576
#13: 153       woodbusy B47231577
#14: 153       woodbusy   D193936
#15: 153       woodbusy   Q184862
#16: 154    kevinhcross Y47331579
#17: 155          cylol A47531580
#18: 155          cylol   Z195944
#19: 155          cylol   B185870
#20: 156    andrewarrow N47731581
#21: 157       gstavrev E47231582

Answer 4

Just to show another option

library(data.table)
setDT(df)[, .(logs = unlist(logs)), by = .(id, name)]