# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 1
dat <- read.table(text=
"year sex name n
1955 F Kerry 615
1955 M Kerry 1600
1980 F Kerry 1000
1980 M Kerry 432
1988 F Kerry 598
1988 M Kerry 421
1980 F Sherry 234
1980 M Sherry 1200
", header=T)
write.csv(dat, "data-raw/p78_input1.csv", row.names=FALSE)
df_out =
dat %>%
filter(name == "Kerry") %>%
select(-`name`) %>%
spread(sex, n)
write.csv(df_out, "data-raw/p78_output1.csv", row.names=FALSE)
p78_output1 <- read.csv("data-raw/p78_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p78_output1, is.factor)
int.cols <- sapply(p78_output1, is.integer)
p78_output1[, fctr.cols] <- sapply(p78_output1[, fctr.cols], as.character)
p78_output1[, int.cols] <- sapply(p78_output1[, int.cols], as.numeric)
save(p78_output1, file = "data/p78_output1.rdata")
p78_input1 <- read.csv("data-raw/p78_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p78_input1, is.factor)
int.cols <- sapply(p78_input1, is.integer)
p78_input1[, fctr.cols] <- sapply(p78_input1[, fctr.cols], as.character)
p78_input1[, int.cols] <- sapply(p78_input1[, int.cols], as.numeric)
save(p78_input1, file = "data/p78_input1.rdata")
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