Hello Saleh Hamed

One popular method for converting nested data stored in a .mat file to a format that can be read by R is to use the "Matlab" package in R. This package allows you to read .mat files directly into R and then use the "write.csv" function to save the data in a CSV format. For example, you can use the following code to read a .mat file called "mydata.mat" and save it as a CSV file called "mydata.csv":

scssCopy codelibrary(matlab)

data

Saleh Hamed There are numerous methods for converting a.mat file (generated in MATLAB) to a format that R can read. The readMat() function from the R.matlab package in R is a common way. This function can read MATLAB.mat files and convert them to R objects including data frames, matrices, and lists.

Another approach is to import the.mat file in Python using the scipy.io.loadmat() function, and then use the pandas package to transform the data into a format that R can read, such as a.csv file.

You may also use the save() function in MATLAB to save the.mat file in a format that R can read, such as.csv or.txt.

It will be determined by your individual use case as well as the format and functionality required for your data in R.

Unfortunately its still not working and give me constantly the same following error:

Error in readMat5(con, firstFourBytes = firstFourBytes, maxLength = maxLength) : Reading of MAT v7.3 files, which use the Hierarchical Data Format (HDF5), is not supported. If possible, save the data in MATLAB using 'save -V6'. Alternatively, use HDF5 file readers available in other R packages.

Please note that its a nested data and not a standard one