# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 45
dat <- read.table(header=T, text='
sbj f1.avg f1.sd f2.avg f2.sd blabla
A 10 6 50 10 bA
B 12 5 70 11 bB
C 20 7 20 8 bC
D 22 8 22 9 bD
')
write.csv(dat, "data-raw/r44_input1.csv", row.names=FALSE)
df_out = dat %>%
gather(v, value, f1.avg:f2.sd) %>%
separate(v, c("var", "col")) %>%
spread(col, value)
write.csv(df_out, "data-raw/r44_output1.csv", row.names=FALSE)
r44_output1 <- read.csv("data-raw/r44_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r44_output1, is.factor)
int.cols <- sapply(r44_output1, is.integer)
r44_output1[, fctr.cols] <- sapply(r44_output1[, fctr.cols], as.character)
r44_output1[, int.cols] <- sapply(r44_output1[, int.cols], as.numeric)
save(r44_output1, file = "data/r44_output1.rdata")
r44_input1 <- read.csv("data-raw/r44_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r44_input1, is.factor)
int.cols <- sapply(r44_input1, is.integer)
r44_input1[, fctr.cols] <- sapply(r44_input1[, fctr.cols], as.character)
r44_input1[, int.cols] <- sapply(r44_input1[, int.cols], as.numeric)
save(r44_input1, file = "data/r44_input1.rdata")
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