Operations team in R
I have a dataset containing millions of rows and I need to apply a "group by" operation using R.
The data is of the form
V1 V2 V3
a u 1
a v 2
b w 3
b x 4
c y 5
c z 6
Doing a "group" with R, I want to add the values ββin column 3 and concatenate the values ββin column 2, for example
V1 V2 V3
a uv 3
b wx 7
c yz 11
I've tried doing opertaion in excel, but due to the large number of tuples, I cannot use excel. I am new to R, so any help would be appreciated.
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4 answers
Another option with sqldf
library(sqldf)
sqldf('select V1,
group_concat(V2,"") as V2,
sum(V3) as V3
from df
group by V1')
# V1 V2 V3
#1 a uv 3
#2 b wx 7
#3 c yz 11
Or using base R
do.call(rbind,lapply(split(df, df$V1), function(x)
with(x, data.frame(V1=V1[1L], V2= paste(V2, collapse=''), V3= sum(V3)))))
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Many possible solutions, here are two
library(data.table)
setDT(df)[, .(V2 = paste(V2, collapse = ""), V3 = sum(V3)), by = V1]
# V1 V2 V3
# 1: a uv 3
# 2: b wx 7
# 3: c yz 11
or
library(dplyr)
df %>%
group_by(V1) %>%
summarise(V2 = paste(V2, collapse = ""), V3 = sum(V3))
# Source: local data table [3 x 3]
#
# V1 V2 V3
# 1 a uv 3
# 2 b wx 7
# 3 c yz 11
Data
df <- structure(list(V1 = structure(c(1L, 1L, 2L, 2L, 3L, 3L), .Label = c("a",
"b", "c"), class = "factor"), V2 = structure(1:6, .Label = c("u",
"v", "w", "x", "y", "z"), class = "factor"), V3 = 1:6), .Names = c("V1",
"V2", "V3"), class = "data.frame", row.names = c(NA, -6L))
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