# making table data sets
library(dplyr)
library(tidyr)
library(MorpheusData)
library(data.table)
#############benchmark 1
dat <- read.table(text=
"page_views date caseID
169 20080130 2007-001
211 20080116 2007-002
149 20080117 2007-001
177 20080114 2007-002
121 20080115 2007-002
0 20080112 2007-002
0 20080113 2007-001
220 20080110 2007-003
169 20080111 2007-003
189 20080118 2007-001
", header=T)
write.csv(dat, "data-raw/p65_input1.csv", row.names=FALSE)
df_out = dat %>%
filter (page_views > 0) %>%
group_by (caseID) %>%
summarise (earliestDate = min(date))
write.csv(df_out, "data-raw/p65_output1.csv", row.names=FALSE)
p65_output1 <- read.csv("data-raw/p65_output1.csv", check.names = FALSE)
fctr.cols <- sapply(p65_output1, is.factor)
int.cols <- sapply(p65_output1, is.integer)
p65_output1[, fctr.cols] <- sapply(p65_output1[, fctr.cols], as.character)
p65_output1[, int.cols] <- sapply(p65_output1[, int.cols], as.numeric)
save(p65_output1, file = "data/p65_output1.rdata")
p65_input1 <- read.csv("data-raw/p65_input1.csv", check.names = FALSE)
fctr.cols <- sapply(p65_input1, is.factor)
int.cols <- sapply(p65_input1, is.integer)
p65_input1[, fctr.cols] <- sapply(p65_input1[, fctr.cols], as.character)
p65_input1[, int.cols] <- sapply(p65_input1[, int.cols], as.numeric)
save(p65_input1, file = "data/p65_input1.rdata")
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