rbind dataframes with a different column name

dataframe, r, rbind

Solution

You could use `rbindlist` which takes different column names. Using @LyzandeR's data

library(data.table) #data.table_1.9.5
rbindlist(list(a,b))
#            a         b
# 1: 0.8403348 0.1579255
# 2: 0.4759767 0.8182902
# 3: 0.8091875 0.1080651
# 4: 0.9846333 0.7035959
# 5: 0.2153991 0.8744136
# 6: 0.7604137 0.9753853
# 7: 0.7553924 0.1210260
# 8: 0.7315970 0.6196829
# 9: 0.5619395 0.1120331
#10: 0.5711995 0.7252631

Update

Based on the object names of the 12 datasets (i.e. 'Goal1_Costo', 'Goal2_Costo',..., 'Goal12_Costo'),

 nm1 <- paste(paste0('Goal', 1:12), 'Costo', sep="_")
 #or using `sprintf`
 #nm1 <- sprintf('%s%d_%s', 'Goal', 1:12, 'Costo')
 rbindlist(mget(nm1))

Problem

I've 12 data frames, each one contains 6 columns: 5 have the same name, 1 is different. Then when I call `rbind()` I get: ``` Error in match.names(clabs, names(xi)) : names do not match previous names ``` The column that differs is: "goal1Completions". There are 12 goalsCompletions... they are: "goal1Completions", "goal2Completions", "goal3Completions"... and so on. The best way I can think of is: renaming every column in every data frame to "GoalsCompletions" and then using "rbind()". Is there a simpler way? Look on Google O found this package: "gtools". It has a function called: "smartbind". However, after using smartbind() i want to see the the data frame with "View()", my R session crashes... My data (an example of the first data frame): ``` date source medium campaign goal1Completions ad.cost Goal 1 2014-10-01 (direct) (none) (not set) 0 0.0000 Vida 2 2014-10-01 Master email CAFRE 0 0.0000 Vida 3 2014-10-01 apeseg referral (not set) 0 0.0000 Vida ```

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