Hi R community, I've been given some code to run, but cannot get it to work properly:
focal.data <- list.files(path = "~/Masters 2021 stuff/Research apprenticeship/Group by year", pattern="*FocalData.txt") #Split out year from the file names
year <- str_split(focal.data,pattern="_")
year <- do.call(rbind,year)
year <- year[,1]
year <- str_sub(year,(nchar(year)-3),nchar(year))
year <- as.numeric(year)
When I run this I get the following error message:
Error in as.numeric(year) :
cannot coerce type 'closure' to vector of type 'double'
Does anybody know what's going wrong? I'm confident that i've set the working directory correctly.
In the Environment section, it says focal.data character(empty), so presumably it hasn't read in my word documents.
I thought the problem might be that I was using word documents and the code says txt in the pattern. So I converted all word docs to txt and changed the file names to reflect the word documents: pattern="GroupByYear.txt"
In doing this the environment now shows:
Which looks better, but I still get the following error code when I try and split it:
Error in as.numeric(year) :
cannot coerce type 'closure' to vector of type 'double'
I have the following packages open:
library(gt)
library(plyr)
library(tidyverse)
library(data.table)
library(magrittr)
library(lubridate)
library(readr)
Your code works for me. I invented a vector of values for focal.data based on the image you provided.
focal.data <- c("GroupF2010_GroupByYear.txt", "GroupF2011_GroupByYear.txt")
year <- str_split(focal.data,pattern="_")
year <- do.call(rbind,year)
year <- year[,1]
year <- str_sub(year,(nchar(year)-3),nchar(year))
year <- as.numeric(year)
print(year)
[1] 2010 2011
The lubridate package has a function named year, so running as.numeric(year) without previously assigning a value to year will cause an error. Have you successfully run the lines before as.numeric(year)? Run them one at a time and make sure you see a value for year in the Environment pane. Or, better, change the variable name year to YEAR to avoid possible confusion with the function name.
By the way, your code seems needlessly complicated. I might have oversimplified the text values involved, but using my example values, the four digit year can be directly extracted.
focal.data <- c("GroupF2010_GroupByYear.txt", "GroupF2011_GroupByYear.txt")
YEAR <- str_extract(focal.data, "\\d{4}") #extract the four digits from each value
YEAR <- as.numeric(YEAR)
print(YEAR)
[1] 2010 2011
