It's the first time I deal with Matlab files in R.
The rationale for saving the information in a .mat file type was the length. (the dataset contains 226518 rows). We were worried to excel (and then a csv) would not take them.
I can upload the original file if necessary
So I have my Matlab file and when I open it in Matlab all good.
There are various arrays and the one I want is called "allPoints"
I can open it and then see that it contains values around 0.something.
Screenshot:
What I want to do is to extract the same data in R.
library(R.matlab)
df <- readMat("170314_Col_HD_R20_339-381um_DNNhalf_PPP1-EN_CellWallThickness.mat")
str(df)
And here I get stuck. How do I pull out "allPoints" from it. $ does not seem to work.
I will have multiple files that need to be put together in one single dataframe in R so the plan is to mutate each extracted df generating a new column for sample and then I will rbind together.
Could anybody help?
Related
Is there a way to only use data from one CSV file that is not the same as this other CSV file? I recently split some data to conduct EFA and CFA analysis. I need to not use the information that will use to conduct the EFA analysis because then it serves no point to randomly split the data.
So how do I only use the data that I did not use in the CFA? If anyone can help please, it would be much appreciated.
Edit:
what I did was the following
Usage <-anti_join(file one, file two, by ='the column in which I could separate by')
then I just exported the file into a CSV, thank you all!
I have to deal with data organized by row. So, R reads observation as variables and variables as observation. I have tried to transpose using function t() but R changed all data to character.
The original file is a .csv one.
Thank you.
apologies for what is probably an already-answered question, I couldn't seem to find what I was looking for in the archives.
I'm currently in the process of trying to merge multiple excel files into one df for data analysis.
It's experimental data across different versions, and the variables in each column in excel are inconsistent (ie, in Version 1, ReactionTime is in Column AB, in Version 2 it's in AG). I need to merge the values from specified variables from the (~24) data files with different column structures into one long format df.
I've only ever used an excel macro to merge files before, and am unsure of how to go about specifying the variable names for merging. Any help you could provide would be appreciated!
I want to read in to R an EXCEL tab that has the following content configuration into a more Tidy data format. The next picture shows how I want the content to look like once all of the code has run. The table below just represents file that will come in daily. Each day, the numbers and the date will change, but the format will be exactly the same. So I need to learn how to automate the extraction of the pieces of this format into R from EXCEL. The end goal is to stack the daily data into a format that can be exported to Tableau.
The image above (figure 2) represents the final format I want to arrive at. I know there are several packages to read in EXCEL data into R, however I cannot figure out how I can possibly automate this tasks with readr or readxl etc... I am at least hoping some one has faced this type of problem before and can give me general directions.
I just found a bunch of weather data that I would like to play around with in glmnet in R. First I've been reading and organizing the data in R, and right now I am just trying to look at the raw data of each variable. Unfortunately, each variable has a lot of data and R isn't able to print it all. Is there a way I can view all the raw data in R or just in the file itself? I've tried opening the file in excel to no success. Thanks!
Try to use Frequency tables, you can group by segments.
str() , summary(), table(), pairs(), plots() etc. There are several libraries (such as decr) which facilitate analyzing numerical and factor levels. Let me know if you need help with any.