# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 63
dat <- read.table(text=
"
Market Variables median lower.limit upper.limit
market_1 var_1 2.78 2.71 2.72
market_1 var_2 3.21 2.96 3.44
market_2 var_1 2.95 2.79 3.11
market_2 var_2 2.11 1.91 2.30
", header=T)
write.csv(dat, "data-raw/p63_input1.csv", row.names=FALSE)
df_out = dat %>%
gather(Var, Val, median:upper.limit) %>%
unite(VarN,Variables, Var) %>%
spread(VarN, Val)
write.csv(df_out, "data-raw/p63_output1.csv", row.names=FALSE)
p63_output1 <- read.csv("data-raw/p63_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p63_output1, is.factor)
int.cols <- sapply(p63_output1, is.integer)
p63_output1[, fctr.cols] <- sapply(p63_output1[, fctr.cols], as.character)
p63_output1[, int.cols] <- sapply(p63_output1[, int.cols], as.numeric)
save(p63_output1, file = "data/p63_output1.rdata")
p63_input1 <- read.csv("data-raw/p63_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p63_input1, is.factor)
int.cols <- sapply(p63_input1, is.integer)
p63_input1[, fctr.cols] <- sapply(p63_input1[, fctr.cols], as.character)
p63_input1[, int.cols] <- sapply(p63_input1[, int.cols], as.numeric)
save(p63_input1, file = "data/p63_input1.rdata")
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