# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 81
dat <- read.table(text="
Subject Var1 Var2
A-pre 25 27
A-post 25 26
B-pre 30 28
B-post 30 28", header=T)
write.csv(dat, "data-raw/r69_input1.csv", row.names=FALSE)
df_out = dat %>%
separate(Subject, into=c('SubjectNew', 'New')) %>%
gather(Var, Val, Var1,Var2)%>%
unite(VarNew, Var, New) %>%
spread(VarNew, Val)
write.csv(df_out, "data-raw/r69_output1.csv", row.names=FALSE)
r69_output1 <- read.csv("data-raw/r69_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r69_output1, is.factor)
int.cols <- sapply(r69_output1, is.integer)
r69_output1[, fctr.cols] <- sapply(r69_output1[, fctr.cols], as.character)
r69_output1[, int.cols] <- sapply(r69_output1[, int.cols], as.numeric)
save(r69_output1, file = "data/r69_output1.rdata")
r69_input1 <- read.csv("data-raw/r69_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r69_input1, is.factor)
int.cols <- sapply(r69_input1, is.integer)
r69_input1[, fctr.cols] <- sapply(r69_input1[, fctr.cols], as.character)
r69_input1[, int.cols] <- sapply(r69_input1[, int.cols], as.numeric)
save(r69_input1, file = "data/r69_input1.rdata")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.