# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 29
attributes <- read.table(text=
"Species Attribute
Callvulg MI
Empenigr MI
Rhodtome PI
", header=T)
dat <- read.table(text=
"ID Species Value
1 Callvulg 0.55
2 Callvulg 0.67
3 Callvulg 0.10
1 Empenigr 11.13
2 Empenigr 0.17
3 Empenigr 1.55
1 Rhodtome 0.17
2 Rhodtome 1.55
3 Rhodtome 3.00",
header=T)
write.csv(dat, "data-raw/r28_input1.csv", row.names=FALSE)
write.csv(attributes, "data-raw/r28_input2.csv", row.names=FALSE)
df_out = dat %>%
inner_join(attributes) %>%
filter(Attribute == "MI") %>%
group_by(ID) %>%
summarise(Total = sum(Value))
write.csv(df_out, "data-raw/r28_output1.csv", row.names=FALSE)
r28_output1 <- read.csv("data-raw/r28_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r28_output1, is.factor)
int.cols <- sapply(r28_output1, is.integer)
r28_output1[, fctr.cols] <- sapply(r28_output1[, fctr.cols], as.character)
r28_output1[, int.cols] <- sapply(r28_output1[, int.cols], as.numeric)
save(r28_output1, file = "data/r28_output1.rdata")
r28_input1 <- read.csv("data-raw/r28_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r28_input1, is.factor)
int.cols <- sapply(r28_input1, is.integer)
r28_input1[, fctr.cols] <- sapply(r28_input1[, fctr.cols], as.character)
r28_input1[, int.cols] <- sapply(r28_input1[, int.cols], as.numeric)
save(r28_input1, file = "data/r28_input1.rdata")
r28_input2 <- read.csv("data-raw/r28_input2.csv", check.names = FALSE)
fctr.cols <- sapply(r28_input2, is.factor)
int.cols <- sapply(r28_input2, is.integer)
r28_input2[, fctr.cols] <- sapply(r28_input2[, fctr.cols], as.character)
r28_input2[, int.cols] <- sapply(r28_input2[, int.cols], as.numeric)
save(r28_input2, file = "data/r28_input2.rdata")
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