Closed. This question needs debugging details. It is not currently accepting answers.
Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question.
Closed 1 year ago.
Improve this question
I'm using a Rest API to GET a model (.rda) file. I'm trying to load the file/model in-memory since I have the binary object (obtained successfully), but I'm finding this rather difficult. I'd include some sample code, but to be honest I'm struggling to make an attempt. The load() documentation notes that it can take "a (readable binary-mode) connection", so my attempts have involved trying these out with no success. I always struggle with these I/O tasks so any help would be very appreciated.
Here's how I was able to load an .rda model in one step:
endpoint <- 'v2/asset_files/data_asset/sample_model.rda'
r = httr::GET(url = paste(DATA_API_URL,endpoint,sep='/'),
query = list(project_id = project_id))
# class(r$content) is raw
load(rawConnection(r$content))
Related
Closed. This question needs debugging details. It is not currently accepting answers.
Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question.
Closed 1 year ago.
Improve this question
I am trying to save my table (created via tab_model) in the viewer of R. Nothing I have found so far works as it is not a dataframe. I am getting messages like
$ operator not defined for this S4 class
Has anyone an idea how I could save it nevertheless?
Try,
library(sjPlot)
library(webshot)
tab_model(dat, file = "plot.html")
#save as image
webshot("plot.html", "plot.png")
Closed. This question needs debugging details. It is not currently accepting answers.
Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question.
Closed 2 years ago.
Improve this question
When I try to import dataset in R, it tells me this: "Error in View : object "GenomeTOT" not found" (where GenomeTOT is the name of the file). I can not understand why since I am importing the file directly from the environment so I choose it. How to solve this problem? The txt file has 3 columns and 55302 rows, so I do not know if it maybe a problem due to the size.
Why you do not try to upload in coding way?
data <- read.delim("filename.txt")
Closed. This question needs debugging details. It is not currently accepting answers.
Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question.
Closed 5 years ago.
Improve this question
I'm struggling to find the answer to this very basic question and to make the here() function work (from the here package). I'd be glad if someone could help me with that.
What's a file .here mentionned in this github? And how can I create one ?
I've tried adding a text file called '.here.txt' in my workflow (where I want the here() function to "start") but it doesn't work.
You don't need a here file. That's one of the possibilities though. But if you want to use that route then make a file called .here
Not .here.txt or here.txt or any other variant you can think of. Literally just .here
Closed. This question needs debugging details. It is not currently accepting answers.
Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question.
Closed 6 years ago.
Improve this question
I have read all transactions from my datasat and then made apriori.
But I "ate" whole RAM.
It is possibble to omit this?
It is possible to prepare apriori without loading everything to RAM or
somehow merge the results?
Generally, one can increase the memory available to R processes using command line parameters. See Increasing (or decreasing) the memory available to R processes
However, apriori has some optimization options itself. Add a list of control parameters to your call to apriori using control = list(memopt = TRUE) to minimize memory usage and control = list(load = FALSE) to disable loading transactions into memory.
Closed. This question needs debugging details. It is not currently accepting answers.
Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question.
Closed 6 years ago.
Improve this question
I got stuck figuring out the proper usage of POST in package "httr". I use this as following.
getdata <- POST(url=url,add_headers(`Content-Type`="application/json"),
body=list(user="xxx",password="xxx"))
The result is not right as it should be. I didn't good examples from the internet.
Even after I remove "add_headers", it is still not right.
getdata <- POST(url=url,body=list(user="xxx",password="xxx"))
The result is as following:
fromJSON(content(getdata,type="text"))
$success
[1] FALSE
BTW, can I add add_headers in POST? Thank you in advance.
Thank you guys. I found out the solution for my situation anyway.
Body can be in character format which is much easier than using the list format.