Created
October 9, 2015 07:10
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R long table wide table convertion
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#### long data to wide data | |
long.data <- read.csv(textConnection("ID,Month,Sale | |
1,1,100 | |
1,2,123 | |
1,3,456 | |
1,4,45 | |
1,5,486 | |
2,1,200 | |
2,2,131 | |
2,3,423 | |
2,4,486 | |
2,5,1 | |
3,1,300 | |
3,2,123 | |
3,3,456 | |
3,4,864 | |
3,5,486 | |
4,1,300 | |
4,2,123 | |
4,3,45 | |
4,4,48 | |
4,5,90 | |
5,1,300 | |
5,2,5563 | |
5,3,1 | |
5,4,53 | |
5,5,15")) | |
# optional | |
long.data$Month <- factor(long.data$Month, labels=c("M1", "M2", "M3", "M4", "M5")) | |
## using reshape2::dcast() | |
library(reshape2) | |
dcast(long.data, ID ~ Month, value.var = "Sale") | |
## using tidyr::spread() | |
library(tidyr) | |
spread(long.data, Month, Sale | |
#### wide data to long data | |
wide.data <- read.csv(textConnection("ID,Month1,Month2,Month3,Month4,Month5 | |
1,100,123,456,45,486 | |
2,200,131,423,486,1 | |
3,300,123,456,864,486 | |
4,300,123,45,48,90 | |
5,300,5563,1,53,15")) | |
## using reshape2::melt() | |
melt(wide.data, id.vars = c("ID")) | |
## using tidyr::gather() | |
gather(wide.data, Month, Sale, Month1:Month5) |
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