# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 56
dat <- read.table(text=
"
posture code HR EE a
cycling A03 102 100 3
standing A03 99 99 4
sitting A03 98 67 5
walking A03 97 78 3
cycling B01 111 76 5
standing B01 100 88 4
sitting B01 78 34 4
walking B01 99 99 2
", header=T)
write.csv(dat, "data-raw/r53_input1.csv", row.names=FALSE)
df_out = dat %>%
gather(var, val, HR:a) %>%
unite(v1, posture, var) %>%
spread(v1, val)
write.csv(df_out, "data-raw/r53_output1.csv", row.names=FALSE)
r53_output1 <- read.csv("data-raw/r53_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r53_output1, is.factor)
int.cols <- sapply(r53_output1, is.integer)
r53_output1[, fctr.cols] <- sapply(r53_output1[, fctr.cols], as.character)
r53_output1[, int.cols] <- sapply(r53_output1[, int.cols], as.numeric)
save(r53_output1, file = "data/r53_output1.rdata")
r53_input1 <- read.csv("data-raw/r53_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r53_input1, is.factor)
int.cols <- sapply(r53_input1, is.integer)
r53_input1[, fctr.cols] <- sapply(r53_input1[, fctr.cols], as.character)
r53_input1[, int.cols] <- sapply(r53_input1[, int.cols], as.numeric)
save(r53_input1, file = "data/r53_input1.rdata")
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