# making table data sets
library(dplyr)
library(tidyr)
library(data.table)
library(MorpheusData)
#############benchmark 1
dat <- read.table(text=
"
name metric values
Eric height 6
Bob height 5
Mark height 4
Bob weight 120
Bob weight 118
Eric weight 100
Mark weight 180
Eric grade 2
Bob grade 2
Eric weight 10
Tom weight 80
Kara grade 9
Jim grade 8
Mark grade 4
Jim height 11
Kara height 33
Kara weight 99
Jim weight 90
Tom grade 5
Tom height 109
", header=T)
write.csv(dat, "data-raw/r85_input1.csv", row.names=FALSE)
df_out <- read.table(text=
"
name grade height
Bob 1 1
Eric 1 1
Jim 1 1
Kara 1 1
Tom 1 1
", header=T)
##df_out = dat %>% gather(var, val, -1) %>% filter(val!=0) %>% select(-3)
#%>% arrange(order_id)
write.csv(df_out, "data-raw/r85_output1.csv", row.names=FALSE)
r85_output1 <- read.csv("data-raw/r85_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r85_output1, is.factor)
int.cols <- sapply(r85_output1, is.integer)
r85_output1[, fctr.cols] <- sapply(r85_output1[, fctr.cols], as.character)
r85_output1[, int.cols] <- sapply(r85_output1[, int.cols], as.numeric)
save(r85_output1, file = "data/r85_output1.rdata")
r85_input1 <- read.csv("data-raw/r85_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r85_input1, is.factor)
int.cols <- sapply(r85_input1, is.integer)
r85_input1[, fctr.cols] <- sapply(r85_input1[, fctr.cols], as.character)
r85_input1[, int.cols] <- sapply(r85_input1[, int.cols], as.numeric)
save(r85_input1, file = "data/r85_input1.rdata")
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