I'm trying to send an email from R. I'm running windows 7 and it does not recognize the sendmailR package. Please help!!
Error in library(sendmailR) : there is no package called ‘sendmailR’
library(sendmailR)
Error in library(sendmailR) : there is no package called ‘sendmailR’
library(mail)
Error in library(mail) : there is no package called ‘mail’
Thank you for your time.
If you are off and running, great. But this might also assist. A very helpful person sent me this description for how to send emails with R. His last name was Kristjborn, from Sweden, but I can't otherwise credit him.
Steps needed, after signing up at postmarkapp.com and getting Hadley's script at https://gist.github.com/hadley/5707759
Copy your API key from postmarkapp.com (in Credentials tab under your server name)
In R, write:
Sys.setenv(POSTMARKAPP_API_KEY= your-copied-api-key-here)
Sys.setenv(POSTMARKAPP_API_KEY= “xxxx”) # with quotes
In the file from which you want to send the email, use the following code:
source('../postmarkapp.r') #or the path to your postmarkapp.r wherever you store it
source("C:/Users/R/Documents/R/R Scripts/sendgmailwithpostmarkfromHadleygist.R")
mailtext <- "Good morning, \nThis should be sending you emails from R in no time. \nBest regards, \nSender"
send_email(to = '...', from = '...', subject = '...', body = mailtext, attachments = 'path-to-file') # or skip attachments
This should work. However, if the code fails in sourcing the postmarkapp, it is probably due to dependent Libraries. The app depends on:
library(base64enc) library(RJSONIO) library(httr)
If any of these are not installed you need to do so. Note that httr is stored on github which needs to be installed using install_github from the devtools package: http://www.rstudio.com/projects/devtools/
Related
I have the following script, which works perfectly fine, when I run it on my local PC:
library(RAdwords)
autX <- doAuth()
data <- getData(clientCustomerId='xxx-xxx-xxxx',
google_auth=autx
)
However, when I try to run the very same script on my Unix-Server, then I get this error message:
Error in rjson::fromJSON(RCurl::postForm("https://accounts.google.com/o/oauth2/token", :
STRING_ELT() can only be applied to a 'character vector', not a 'raw'
Question: What could be the reason and how can I fix it?
By the way:
I did copy the files .gitgnore and .google.auth.RData from the folder on my local PC, where I already did this authentification, to the directory on my server.
If I just type doAuth() alone I do not get an error message.
Issue:
getData()calls the function refreshToken() that updates the authentication token of the Google AdWords API. Within the function refreshToken the RCurl command returns a raw data file instead of a character file format. rjson::fromJSON returns an error that is solved with the addition of rawToChar().
Solution:
I created a patch of the function and updated the Github development version of RAdwords.
You can install the new package version with:
require(devtools)
install_github('jburkhardt/RAdwords')
I am trying to scrape some text from fb using the 'Rfacebook' package.
Even after installing Rfacebook & tm, running relevant libraries (Rfacebook, httr, tm, and httpuv), fboAuth(appid, appsecret) is failing to get the reqd. access token. Please see the code and ensuing error below:
install.packages("Rfacebook")
install.packages("tm")
library(devtools)
library(Rfacebook)
library(httr)
library(httpuv)
library(tm)
appid <- 123
appsecret <- 'mysecret123'
fboauth <- fbOAuth(appid, appsecret, extended_permissions = T)
Which returns
Copy and paste into Site URL on Facebook App Settings:
http://localhost:1410/
When done, press any key to continue...
Upon pasting the redirect url in the cell here, a browser opened.
And, although the browser displayed "Authentication complete. Please close this page and return to R.", an error msg was returned in the RStudio console (attached below.) Again, I tried this with Safari as well as Chrome as default browsers - no change.
Authentication complete.
Error in init_oauth2.0(self$endpoint, self$app, scope = self$params$scope, :
Bad Request (HTTP 400). Failed to get an access token.
Any help in resolving this is truly appreciated!
Best,
S
p.s. Using R-Studio v3.3.2 on a Mac (OS Sierra.)
Try the following
a) remove httr package
b) remove RCurl package
c) remove RFacebook
d) Reinstall httr , then RCurl, and then RFacebook
e) get the latest version of R studio
f) After you authenticate, and when you get the message Copy and paste into Site URL on Facebook App Settings: http://localhost:1410/ When done, press any key to continue...
You may want to do save(user_fbOauth) where user_fbOauth are your credentials
g) then pass them to any other request
I have tried this and dont see any issues
Is there some way to source an R script from the web?
e.g. source('http://github.com/project/R/file.r')
Reason: I currently have a project that I'd like to make available for use but isn't ready to be packaged yet. So it would be great to give people a single file to source from the web (that will then source all the individual function files).
On closer inspection, the problem appears to be https. How would I source this file?
https://raw.github.com/hadley/stringr/master/R/c.r
You can use the source_url in the devtools library
library(devtools)
source_url('https://raw.github.com/hadley/stringr/master/R/c.r')
This is a wrapper for the RCurl method by #ROLO
Yes you can, try running this R tutorial:
source("http://www.mayin.org/ajayshah/KB/R/tutorial.R")
(Source)
Https is only supported on Windows, when R is started with the --internet2 command line option (see FAQ):
> source("https://pastebin.com/raw.php?i=zdBYP5Ft")
> test()
[1] "passed"
Without this option, or on linux, you will get the error "unsupported URL scheme". In that case resort to the solution suggested by #ulidtko, or:
Here is a way to do it using RCurl, which also supports https:
library(RCurl)
eval( expr =
parse( text = getURL("http://www.mayin.org/ajayshah/KB/R/tutorial.R",
ssl.verifypeer=FALSE) ))
(You can remove the ssl.verifypeer if the ssl certificate is valid)
Yes, it is possible and worked for me right away.
R> source("http://pastebin.com/raw.php?i=zdBYP5Ft")
R> test()
[1] "passed"
Regarding the HTTPS part, it isn't supported by internal R code. However, R can use external utilities like wget or curl to fetch https:// URLs. One will need to write additional code to be able to source the files.
Sample code might be like this:
wget.and.source <- function(url) {
fname <- tempfile()
download.file(url, fname, method="wget")
source(fname)
unlink(fname)
}
There is a Windows-only solution too: start R with --internet2 commandline option. This will switch all the internet code in R to using IE, and consequently HTTPS will work.
Windows:
If Internet Explorer is configured to access the web using your organization's proxy, you can direct R to use these IE settings instead of the default R settings. This change can be made once by the following steps:
Save your work and close all R sessions you may have open.
Edit the following file. (Note: Your exact path will differ based on your R installation)
C:\Program Files\R\R-2.15.2\etc\Rprofile.site
Open this "Rprofile.site" file in Notepad and add the following line on a new line at the end of the file:
utils::setInternet2(TRUE)
You may now open a new R session and retry your "source" command.
Linux alikes:
Use G. Grothendieck's suggestion. At the command prompt within R type:
source(pipe(paste("wget -O -", "https://github.com/enter/your/url/here.r")))
You may get an error saying:
cannot verify certificate - - - - Self-signed certificate encountered.
At this point it is up to you to decide whether you trust the person issuing the self-signed certificate and proceed or to stop.
If you decide to proceed, you can connect insecurely as follows:
source(pipe(paste("wget -O -", "https://github.com/enter/your/url.r", "--no-check-certificate")))
For more details, see the following:
See section 2.19
CRAN R Documentation 2.19
wget documentation section 2.8 for "no-check-certificate"
Similar questions here:
Stackoverflow setInternet2 discussion
Stackoverflow Proxy configuration discussion
The methods here were giving me the following error from github:
OpenSSL: error:14077458:SSL routines:SSL23_GET_SERVER_HELLO:reason(1112)
I used the following function to resolve it:
github.download = function(url) {
fname <- tempfile()
system(sprintf("curl -3 %s > %s", url, fname))
return(fname)
}
source(github.download('http://github.com/project/R/file.r'))
Hope that helps!
This is working for me on windows:
library(RCurl)
# load functions and scripts from github ----------------------------
fn1 <- getURL("https://raw.githubusercontent.com/SanjitNarwekar/Advanced-R-Programming/master/fn_factorial_loop.R", ssl.verifypeer = FALSE)
eval(parse(text = fn1))
I'm creating a very simple sqldf app where I want to query postgresql database and return results. Here is my R code:
getproperties <- function(name="") {
options(sqldf.RPostgreSQL.user ="user",
sqldf.RPostgreSQL.password ="password",
sqldf.RPostgreSQL.dbname ="db",
sqldf.RPostgreSQL.host ="server",
sqldf.RPostgreSQL.port =5432,
sqldf.driver = "PostgreSQL")
property <- sqldf("select name, url from aston_hotels.property")
return(property)
}
When I call this using OpenCpu
curl http://localhost/ocpu/user/kesav/library/mylib/getproperties/json --data name=kk
I get the following error
R call failed: process died.
Don't know what's I'm doing wrong. Can anyone point me to an example on how to use DBI from OpenCpu?
Thanks in advance
If the function works when running it on the same machine the terminal but not within OpenCPU, it is likely a security problem. Please check in /var/log/kern.log if there are any lines printed containing DENIED when using the application.
If this is the case, you can add the appropriate privileges the the security profile by editing
/etc/apparmor.d/opencpu.d/custom
Also see the server manual section titled Customizing the security profile on this topic.
I am interested in opening an Excel 2007 file in R 2.11.1 using RODBC. The Excel file resides in the shared documents page of a MOSS2007 website. I currently download the .xlsx file to my hard drive and then import to R using the following code:
library(RODBC)
con<-odbcConnectExcel2007("C:/file location/file.xlsx")
data<-sqlFetch(con, "worksheet name")
close(con)
When I type in the web url for the document into the odbcConnectExcel2007 connection, an error message pops up with:
ODBC Excel Driver Login Failed: Invalid internet Address.
followed by the following message in my R console:
ERROR: Could not SQLDriverConnect
Any insights you can provide would be greatly appreciated.
Thanks!
**UPDATE**
The site I am attempting to download from is password protected. I tried another method using the method 'getUrl' in the package RCurl:
x = getURL("http://website.com/file.xlsx", userpwd = "uname:pw")
The error that I receive is:
Error in curlPerform(curl = curl, .opts = opts, .encoding = .encoding) :
embedded nul in string: 'PK\003\004\024\0\006\0\b\0\0\0!\0dA»ï\001\0\0O\n\0\0\023\0Ò\001[Content_Types].xml ¢Î\001( \0\002\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\
I have no idea what this means. Any help would be appreciated. Thanks!
Two solutions worked for me.
If you do not need to automate the script that pulls the data, you can map a network drive pointing to the sharepoint folder from which you want to extract the Excel document.
If you need to automate a script to pull the Excel file every couple of minutes, I recommend sending your authentication credentials in a request that automatically saves the file to a local drive. From there you can read it into R for further data wrangling.
library("httr")
library("openxlsx")
user <- <USERNAME>
password <- <PASSWORD>
url <- "https://sharepoint.company/file_to_obtain.xlsx"
httr::GET(url,
authenticate(user, password, type="ntlm"),
write_disk("C:/tempfile.xlsx", overwrite = TRUE))
df <- openxlsx::read.xlsx("C:/tempfile.xlsx")
You can obtain the correct URL to the file by clicking on the sharepoint location and removing "?Web=1" after the file ending (xlsx, xlsb, xls,...). USERNAME and PASSWORD are usually windows credentials. It helps storing them in a key manager (such as:
library("keyring")
keyring::key_set_with_value(service = "Windows", username = "Key", password = <PASSWORD>)
and then authenticating via
authenticate(user, kreyring::key_get("Windows", "Key"), type="ntlm")
in some instances it may be sufficient to pass
authenticate(":", ":", type="ntlm")
if only your Windows credentials are required and the code is running from your machine.