The reshape2 package in R contains functions that allow data to be transformed into more convenient forms.
Let's say I have a vector of variables like this: >variable [1] "A1" "A1" "A1" "A1" "A2" "A2" "A2" "A2" "…
r reshape2I have the following dummy data: library(dplyr) library(tidyr) library(reshape2) dt <- expand.grid(Year = 1990:2014, Product=LETTERS[1:8], …
r reshape2 tidyrPossible Duplicate: This R reshaping should be simple, but dcast from reshape2 works without a formula where there are no …
r reshape2I love the reshape2 package because it made life so doggone easy. Typically Hadley has made improvements in his previous …
r reshape2 tidyrI have a data frame that I melted using the reshape package that I would like to "un melt". here …
r reshape reshape2df <- data.frame( exp=c(1,1,2,2), name=c("gene1", "gene2", "gene1", "gene2"), value=c(1,1,3,-1) ) In trying to get …
r conditional filtering dplyr reshape2I am attempting to understand why development had shifted from reshape to reshape2 package. They seem to be functionally the …
r reshape reshape2My df looks like this: Id Task Type Freq 3 1 A 2 3 1 B 3 3 2 A 3 3 2 B 0 4 1 A 3 4 1 B 3 4 2 A 1 4 2 B 3 I want to …
r data.table reshape reshape2I have a matrix that I want to reform for plotting in ggplo2 using the melt function from reshape2 but …
r reshape2 melt