# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 1
dat1 <- read.table(text=
"
T1Column1 T1Column2 T1Column3 T1Column4
101 2001 3020 01-01-11
101 2002 3002 02-01-11
101 2001 3001 03-01-11
102 2002 3002 01-01-11
", header=T)
dat2 <- read.table(text=
"
T2Column1 T1Column2 T2Column3
20011 2001 200131
20012 2001 200132
20013 2001 200133
", header=T)
dat3 <- read.table(text=
"
T2Column1 T3Column2
20011 Site
20012 Site
20013 Site
", header=T)
dat <- inner_join(dat1,dat2) %>% inner_join(dat3) %>% select(1,3,4,5,6,7)
write.csv(dat, "data-raw/f4_input1.csv", row.names=FALSE)
df_out = dat %>%
filter(T1Column4 == '01-01-11') %>%
select(-T1Column3,-T2Column3)
write.csv(df_out, "data-raw/f4_output1.csv", row.names=FALSE)
f4_output1 <- read.csv("data-raw/f4_output1.csv", check.names = FALSE)
fctr.cols <- sapply(f4_output1, is.factor)
int.cols <- sapply(f4_output1, is.integer)
f4_output1[, fctr.cols] <- sapply(f4_output1[, fctr.cols], as.character)
f4_output1[, int.cols] <- sapply(f4_output1[, int.cols], as.numeric)
save(f4_output1, file = "data/f4_output1.rdata")
f4_input1 <- read.csv("data-raw/f4_input1.csv", check.names = FALSE)
fctr.cols <- sapply(f4_input1, is.factor)
int.cols <- sapply(f4_input1, is.integer)
f4_input1[, fctr.cols] <- sapply(f4_input1[, fctr.cols], as.character)
f4_input1[, int.cols] <- sapply(f4_input1[, int.cols], as.numeric)
save(f4_input1, file = "data/f4_input1.rdata")
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