# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
#############benchmark 88
dat <- read.table(text=
"id time Q1.1 Q1.2 Q2.1 Q2.2
1 2009-01-01 0.48742885 -0.01618826 1.52718069 -0.29177677
2 2009-01-02 0.73832471 0.94383621 -0.40380049 -1.19813815", header=T)
write.csv(dat, "data-raw/r75_input1.csv", row.names=FALSE)
df_out = dat %>% gather(loop, value, -`id`, -`time`) %>%
separate(loop,c("L1","L2")) %>%
spread(L1,value) %>%
select(-L2)
write.csv(df_out, "data-raw/r75_output1.csv", row.names=FALSE)
r75_output1 <- read.csv("data-raw/r75_output1.csv", check.names = FALSE)
fctr.cols <- sapply(r75_output1, is.factor)
int.cols <- sapply(r75_output1, is.integer)
r75_output1[, fctr.cols] <- sapply(r75_output1[, fctr.cols], as.character)
r75_output1[, int.cols] <- sapply(r75_output1[, int.cols], as.numeric)
save(r75_output1, file = "data/r75_output1.rdata")
r75_input1 <- read.csv("data-raw/r75_input1.csv", check.names = FALSE)
fctr.cols <- sapply(r75_input1, is.factor)
int.cols <- sapply(r75_input1, is.integer)
r75_input1[, fctr.cols] <- sapply(r75_input1[, fctr.cols], as.character)
r75_input1[, int.cols] <- sapply(r75_input1[, int.cols], as.numeric)
save(r75_input1, file = "data/r75_input1.rdata")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.