# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 54
dat <- read.table(text=
"
Geotype Strategy Year.1 Year.2
A Demand 1 5
A Strategy_1 2 6
A Strategy_2 3 7
B Demand 8 8
B Strategy_1 9 9
B Strategy_2 10 10
", header=T)
write.csv(dat, "data-raw/p54_input1.csv", row.names=FALSE)
df_out = dat %>%
gather(key, value, - Geotype, - Strategy) %>%
filter(Strategy!="Demand") %>% group_by(Geotype, key) %>%
summarize(sumVal = sum(value))
write.csv(df_out, "data-raw/p54_output1.csv", row.names=FALSE)
p54_output1 <- read.csv("data-raw/p54_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p54_output1, is.factor)
int.cols <- sapply(p54_output1, is.integer)
p54_output1[, fctr.cols] <- sapply(p54_output1[, fctr.cols], as.character)
p54_output1[, int.cols] <- sapply(p54_output1[, int.cols], as.numeric)
save(p54_output1, file = "data/p54_output1.rdata")
p54_input1 <- read.csv("data-raw/p54_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p54_input1, is.factor)
int.cols <- sapply(p54_input1, is.integer)
p54_input1[, fctr.cols] <- sapply(p54_input1[, fctr.cols], as.character)
p54_input1[, int.cols] <- sapply(p54_input1[, int.cols], as.numeric)
save(p54_input1, file = "data/p54_input1.rdata")
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