Import data from GitHub [duplicate] - r

Question

I am trying to read a CSV from github into R:
latent.growth.data <- read.csv("https://github.com/aronlindberg/latent_growth_classes/blob/master/LGC_data.csv")
However, this gives me:
Error in file(file, "rt") : cannot open the connection
In addition: Warning message:
In file(file, "rt") : unsupported URL scheme
I tried ?read.csv, ?download.file, getURL (which only returned strange HTML), as well as the data import manual, but still cannot understand how to make it work.
What am I doing wrong?

Answer 1

Try this:
library(RCurl)
x <- getURL("https://raw.github.com/aronlindberg/latent_growth_classes/master/LGC_data.csv")
y <- read.csv(text = x)
You have two problems:
You're not linking to the "raw" text file, but Github's display version (visit the URL for https:\raw.github.com....csv to see the difference between the raw version and the display version).
https is a problem for R in many cases, so you need to use a package like RCurl to get around it. In some cases (not with Github, though) you can simply replace https with http and things work out, so you can always try that out first, but I find using RCurl reliable and not too much extra typing.

Answer 2

From the documentation of url:
Note that ‘https://’ connections are not supported (with some
exceptions on Windows).
So the problem is that R does not allow conncetions to https URL's.
You can use download.file with curl:
download.file("https://raw.github.com/aronlindberg/latent_growth_classes/master/LGC_data.csv",
destfile = "/tmp/test.csv", method = "curl")

Answer 3

I am using R 3.0.2 and this code does the job.
urlfile<-'https://raw.github.com/aronlindberg/latent_growth_classes/master/LGC_data.csv'
dsin<-read.csv(urlfile)
and this as well
urlfile<-'https://raw.github.com/aronlindberg/latent_growth_classes/master/LGC_data.csv'
dsin<-read.csv(url(urlfile))
edit (sessionInfo)
R version 3.0.2 (2013-09-25)
Platform: i386-w64-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=Polish_Poland.1250 LC_CTYPE=Polish_Poland.1250
[3] LC_MONETARY=Polish_Poland.1250 LC_NUMERIC=C
[5] LC_TIME=Polish_Poland.1250
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] tools_3.0.2

Answer 4

In similar style to akhmed, I thought I would update the answer, since now you can just use Hadley's readr package.
Just one thing to note: you'll need the url to be the raw content (see the //raw.git... below).
Here's an example:
library(readr)
data <- read_csv("https://raw.githubusercontent.com/RobertMyles/Bayesian-Ideal-Point-IRT-Models/master/Senate_Example.csv")
Voilà!

Answer 5

Realizing that the question is very old, Google still reported it as a top result (at least for me) so I decided to provide the answer for year 2015.
Folks are generally migrating now to curl package (including famous httr) as described by r-bloggers which offers the following very simple solution:
library(curl)
x <- read.csv( curl("https://raw.githubusercontent.com/trinker/dummy/master/data/gcircles.csv") )

Answer 6

This is what I've been helping develop rio for. It's basically a universal data import/export package that supports HTTPS/SSL and infers the file type from its extension, thus allowing you to read basically anything using one import function:
library("rio")
If you grab the "raw" url for your CSV from Github, you can load it one line with import:
import("https://raw.githubusercontent.com/aronlindberg/latent_growth_classes/master/LGC_data.csv")
The result is a data.frame:
top100_repository_name month monthly_increase monthly_begin_at monthly_end_with
1 Bukkit 2012-03 9 431 440
2 Bukkit 2012-04 19 438 457
3 Bukkit 2012-05 19 455 474
4 Bukkit 2012-06 18 475 493
5 Bukkit 2012-07 15 492 507
6 Bukkit 2012-08 50 506 556
...

Answer 7

Seems nowadays GitHub wants you to go through their API to fetch content. I used the gh package as follows:
require(gh)
tmp = tempfile()
qurl = 'https://raw.githubusercontent.com/aronlindberg/latent_growth_classes/master/LGC_data.csv'
# download
gh(paste0('GET ', qurl), .destfile = tmp, .overwrite = TRUE)
# read
read.csv(tmp)
The important part is that you provide an personal access token (PAT). Either through the gh(.token = ) argument, or as I did, by setting the PAT globally in an ~/.Renviron file [1]. Of course you first have to create the PAT at your GitHub account.
[1] ~/.Renviron, I guess is searched first by all r-lib packages, as gh is one. The token therein should look like this:
GITHUB_PAT = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
You could also use the usethis package to set up the PAT.

Answer 8

A rather dummy way... using copy/paste from clipboard
x <- read.table(file = "clipboard", sep = "t", header=TRUE)

Answer 9

curl might not work in windows at least for me
This is what worked for me in Windows
download.file("https://github.com/aronlindberg/latent_growth_classes/master/LGC_data.csv",
destfile = "/tmp/test.csv",method="wininet")
In Linux
download.file("https://github.com/aronlindberg/latent_growth_classes/master/LGC_data.csv",
destfile = "/tmp/test.csv",method="curl")

Answer 10

As mentioned by other postings, just go to the link for the raw code on github.
For example:
x <- read.csv("https://raw.githubusercontent.com/rfordatascience/
tidytuesday/master/data/2018/2018-04-23/week4_australian_salary.csv")