How do I append the name of corresponding file name to the list output of my code. The goal is to be able to trace the outputs in the list to the input csv files. Currently, the list output returns a list index [[1]]
,[[2]]
,...
,[[5]]
(see the snapshot below). I want the corresponding file name included, something like this CA_three
, FL_three
,....
, NY_two
@ Akrun, I want each page to have a corresponding file name
Below there are two codes
Code 1 : code that loops through 5 csv files and returns a list of outputs
[[]]
(I need help here)Code 2: code to generate 5 csv files used in
Code 1
# Code 1
library(multcompView) # for tukeyHD
# list of 20 csv files in a folder
files <- list.files("C:\\mypath\\", pattern="*.csv", full.names = T)
out <- lapply(1:length(files), function(x) { # use lapply to loop over all files
this_data <- read.csv(files[x], header = TRUE)
aov_mod <- aov(revenue ~ dept, data = this_data)
tuk<-TukeyHSD(x= aov_mod)
tuk
})
out
# Code 2
# In order to generate 5 csv files, copy and paste the code below and save in a new folder
#
state <-c("NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY")
dept <- c("energy","energy","energy","energy","works",'works','works','works','fin','fin','fin','fin','parks','parks','parks','parks','trans','trans','trans','trans')
year <- c("two","two","two","two","two","two","two","two","two","two","two","two","two","two","two","two","two","two","two","two")
revenue <-c(1212.9,1253,1244.4,5123.5,1312,3134,515.8,2449.9,3221.6,3132.5,2235.09,2239.01,3235.01,5223.01,4235.6,2204.5,2315.5,6114,4512,3514.2)
NY_two <-data.frame(state,dept,year,revenue)
# dataset 2
state <-c("NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY","NY")
dept <- c("energy","energy","energy","energy","works",'works','works','works','fin','fin','fin','fin','parks','parks','parks','parks','trans','trans','trans','trans')
year <- rep("five",20)
revenue <-c(1212.9,1253,1244.4,5123.5,1312,3134,515.8,2449.9,3221.6,3132.5,2235.09,2239.01,3235.01,5223.01,4235.6,2204.5,2315.5,6114,4512,3514.2)
NY_five <-data.frame(state,dept,year,revenue)
state <- rep("FL",20)
dept <- c("energy","energy","energy","energy","works",'works','works','works','fin','fin','fin','fin','parks','parks','parks','parks','trans','trans','trans','trans')
year <- rep("three",20)
revenue <-c(112.9,123,124,523.5,112,334,55,449,221.6,332,235,239,235,223,235.6,204,315.5,614,512,514.2)
FL_three <- data.frame(state,dept,year,revenue)
state <- rep("CA",20)
dept <- c("energy","energy","energy","energy","works",'works','works','works','fin','fin','fin','fin','parks','parks','parks','parks','trans','trans','trans','trans')
year <- rep("three",20)
revenue <-c(1102.9,1023,1024,5203.5,1012,3034,505,4049,2021.6,3032,2035,2039,2035,2023,2035.6,2004,3015.5,6014,5012,5014.2)
CA_three <- data.frame(state,dept,year,revenue)
state <- rep("KY",20)
dept <- c("energy","energy","energy","energy","works",'works','works','works','fin','fin','fin','fin','parks','parks','parks','parks','trans','trans','trans','trans')
year <- rep("one",20)
revenue <-c(1102.9,1023,1024,5203.5,1012,3034,505,4049,2021.6,3032,2035,2039,2035,2023,2035.6,2004,3015.5,6014,5012,5014.2)
KY_one <- data.frame(state,dept,year,revenue)
setwd("C:\\define your path\\")
# writing out the file to a newly created folder
write.csv(NY_two,"NY_two.csv",row.names = FALSE)
write.csv(CA_three,"CA_three.csv",row.names = FALSE)
write.csv(FL_three,"FL_three.csv",row.names = F)
write.csv(NY_five,"NY_five.csv",row.names = FALSE)
write.csv(KY_one,"KY_one.csv",row.names = F)
Please share your code, thanx in advance!