# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 1
dat <- data_frame(
Person = rep(c("greg", "sally"), each=2),
Time = rep(c("Pre", "Post"), 2),
Score1 = round(rnorm(4, mean = 80, sd=4), 0),
Score2 = round(jitter(Score1, 15), 0)
)
write.csv(dat, "data-raw/r3_input1.csv", row.names=FALSE)
df_out = dat %>%
gather(temp, score, Score1, Score2) %>%
unite(temp1, Time, temp) %>%
spread(temp1, score)
write.csv(df_out, "data-raw/r3_output1.csv", row.names=FALSE)
r3_output1 <- read.csv("data-raw/r3_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r3_output1, is.factor)
int.cols <- sapply(r3_output1, is.integer)
r3_output1[, fctr.cols] <- sapply(r3_output1[, fctr.cols], as.character)
r3_output1[, int.cols] <- sapply(r3_output1[, int.cols], as.numeric)
save(r3_output1, file = "data/r3_output1.rdata")
r3_input1 <- read.csv("data-raw/r3_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r3_input1, is.factor)
int.cols <- sapply(r3_input1, is.integer)
r3_input1[, fctr.cols] <- sapply(r3_input1[, fctr.cols], as.character)
r3_input1[, int.cols] <- sapply(r3_input1[, int.cols], as.numeric)
save(r3_input1, file = "data/r3_input1.rdata")
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