Does anyone know how to read ".atrx" file in R?
I have been trying to find a function to read this data type but I can not find any.
Thanks in Advance
Related
I have a csv file I generated in Python. I now need to convert it to an R.Data file for further downstream analyses, but I have no idea how to accomplish this.
Someone else asked this question a few years back but it has no solutions. Would really appreciate some input.
Previously asked question:
Converting csv to Rdata
This is a classic situation of but why?, but if you must accomplish this then it is as easy as:
data <- read.csv("my_file.csv")
save(data, file = "my.file.RData")
I'm trying to get R to read data from a txt file, but the file is not properly made, so it's giving me lots of errors.
Ideally, I'd like to be able to extract a dataframe to be able to work with from this, but I trully don't know how to.
The files are all in this link.
An example with any of them would work.
Thanks a lot!
I've a lot of .hyper files to work with. Most of the time I work with them using Python (using tableauhyperio lib), but I need to read them in R and I could not find a way to do it. Does anyone know some way to read hyper files in R?
Right now I'm reading the data in python and exporting them as csv to read in R the csv files...
I am a novice in R STUDIO and I am trying to convert a CSV file into an Rdata (.rds) format. Can someone help me out regarding this?
I have searched online and so far the answers I have found does not match what I need.
I have received an .rdata file with what I think should be a list of co-ordinates (x,y) and their corresponding gray value; however, I do not know exactly the data type/format within the .rdata file. Is there a way for me to read these data without R? I do not have access to R. I have Excel and Matlab on a Mac. Please help. Unfortunately, I am not allowed to pass on the data (my Googling tells me someone familiar with R can export the data into a text of csv file easily).
Thank you in advance.
I downloaded R, read the .rdata in using load() and saved it out again using write.csv().