# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 1
dat <- read.table(text=
"GeneID D.1 T.1 D.8 T.8
A2M 8876.5 510.5 4318.3 8957.7 4092.4
ABL1 2120.8 480.3 1694.6 2471 1784.1
ACP1 1266.6 213.8 1337.9 831.5 814.1
", header=T)
write.csv(dat, "data-raw/r6_input1.csv", row.names=FALSE)
df_out = dat %>%
gather(pt.num.type, value, 2:4) %>%
separate(pt.num.type, c("type", "pt.num")) %>%
group_by(GeneID, type) %>%
summarise(sum = sum(value))
write.csv(df_out, "data-raw/r6_output1.csv", row.names=FALSE)
r6_output1 <- read.csv("data-raw/r6_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r6_output1, is.factor)
int.cols <- sapply(r6_output1, is.integer)
r6_output1[, fctr.cols] <- sapply(r6_output1[, fctr.cols], as.character)
r6_output1[, int.cols] <- sapply(r6_output1[, int.cols], as.numeric)
save(r6_output1, file = "data/r6_output1.rdata")
r6_input1 <- read.csv("data-raw/r6_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r6_input1, is.factor)
int.cols <- sapply(r6_input1, is.integer)
r6_input1[, fctr.cols] <- sapply(r6_input1[, fctr.cols], as.character)
r6_input1[, int.cols] <- sapply(r6_input1[, int.cols], as.numeric)
save(r6_input1, file = "data/r6_input1.rdata")
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