# making table data sets
library(dplyr)
library(tidyr)
library(data.table)
library(MorpheusData)
#############benchmark 1
dat <- read.table(text=
"
ID name MGW.one MGW.two HEL.one HEL.two
A Tom 10.0 19 12 13.0
B Jim -13.29 13 12 -0.12
C Kate -6.95 10 15 4.0
", header=T)
write.csv(dat, "data-raw/r95_input1.csv", row.names=FALSE)
df_out <- read.table(text=
"
ID HEL MGW
A 12.5 14.5
B 5.94 -0.145
C 9.5 1.525
", header=T)
##df_out = dat %>% gather(var, val, -1) %>% filter(val!=0) %>% select(-3)
#%>% arrange(order_id)
write.csv(df_out, "data-raw/r95_output1.csv", row.names=FALSE)
r95_output1 <- read.csv("data-raw/r95_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r95_output1, is.factor)
int.cols <- sapply(r95_output1, is.integer)
r95_output1[, fctr.cols] <- sapply(r95_output1[, fctr.cols], as.character)
r95_output1[, int.cols] <- sapply(r95_output1[, int.cols], as.numeric)
save(r95_output1, file = "data/r95_output1.rdata")
r95_input1 <- read.csv("data-raw/r95_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r95_input1, is.factor)
int.cols <- sapply(r95_input1, is.integer)
r95_input1[, fctr.cols] <- sapply(r95_input1[, fctr.cols], as.character)
r95_input1[, int.cols] <- sapply(r95_input1[, int.cols], as.numeric)
save(r95_input1, file = "data/r95_input1.rdata")
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