The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
imguR enables intuitive uploading of plots created in R to the free image hosting service Imgur simply, quickly, and intuitively via the Imgur v3 API. The package is a complete client library for the Imgur API, meaning that one can also delete, favorite, and comment on images, as well as organize them in albums and galleries, among other operations.
By default, all images are loaded to Imgur anonymously. Optionally, using an OAuth2.0 login (see examples below), users can also gain full access to their own Imgur user account.
The two workhorse functions for anonymously uploading images to Imgur
are imgur
and imgur_off
, the latter of which
wraps dev.off
and completes the image upload.
library('imguR')
i <- imgur('pdf') # first argument to `imgur` is any graphics device function
plot(x=1:10, y=-1:-10, col=1:10, pch=19, main="oh hai dere")
imgur_off(i)
# [1] "http://imgur.com/nsDOm"
To upload images to a user account, first complete an OAuth login
(see next section) and then pass the OAuth2.0 token object to
imgur
, e.g.:
tkn <- imgur_login()
i <- imgur(token = tkn)
hist(rnorm(100))
imgur_off(i)
By default, all operations in imguR are performed
anonymously using an API key attached to the imguR
package and registered by the package maintainer. To use the package in
a non-anonymous fashion (and to obtain higher API rate limits),
operations needs to include an token
argument, which must
contain an OAuth2.0 token object. Note: Some operations cannot be
performed anonymously and must be performed with the token
argument; these operations produce an error if no token
is
supplied.
Generating an OAuth2.0 token is easy in an interactive session using
imgur_login()
(and completing a user account login in your
web browser on a screen that
looks like this), the response of which is a Reference Class object
that can be passed to all package functions. For example:
# login
tkn <- imgur_login()
# upload a simple plot
i <- imgur(token = tkn)
hist(rnorm(100))
imgur_off(i)
# check account details
account(token = tkn)
account_image_count(token = tkn)
account_album_count(token = tkn)
The OAuth2.0 token is moderately long lived. You can see when it
expires by looking at, e.g., tkn$credentials$expiration
. If
a token expires, it can be refreshed using the refresh()
method, e.g., tkn$refresh()
.
The ability to refresh the OAuth2.0 token also means that it is
possible to use the token non-interactively. First, generate a token and
save it locally (with the default cache = TRUE
argument to
imgur_login
):
# generate a token interactively
tkn <- imgur_login()
Then, reload (using httr’s built-in OAuth caching mechanism) and optionally refresh the token in the non-interactive session before performing any operations:
tkn <- imgur_login()
# tkn$refresh() # refresh token, if expired
i <- imgur(token = tkn)
hist(rnorm(100))
imgur_off(i)
Note: imgur_login
uses OAuth credentials registered to
the package maintainer. If you intend to make a very large number of API
requests, it may be appropriate to register your own
application. You can check user- and package-level rate limits with
rate_limit
.
If operations (e.g., upload_image
) are performed with a
token
argument, they can subsequently be modified (e.g.,
update_image
) by passing the relevant identifiers:
i <- imgur(token = tkn)
hist(rnorm(100))
u <- imgur_off(i)
# pass the `imgur_image` object to `update_image`:
update_image(u, title = 'My graph', description = 'A simple graph', token = tkn)
# or, pass just the image id:
update_image(u$id, title = 'My graph', description = 'A simple graph', token = tkn)
If you tried to perform the update_image
operation
without passing a token
argument, the operation would fail.
Similarly, if an image is uploaded anonymously, it is not possibly to
anonymously modify it. Instead, the imgur_image
response
object (a simple list) will include a deletehash
element,
which is essentially a private key for the image. This can be used to
modify the image:
i <- imgur()
hist(rnorm(100))
u <- imgur_off(i)
# pass just the image deletehash:
update_image(u$deletehash, title = 'My graph', description = 'A simple graph')
This procedure can also be used for other API operations, such as modifying albums. Not all operations can be performed anonymously, however.
The current stable version imguR can be installed from CRAN using:
install.packages('imguR')
The development version can be installed directly from GitHub using
ghit
:
if(!require('ghit')) {
install.packages('ghit')
}
ghit::install_github('leeper/imguR')
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.