Hi
I want to evalute EGA with Rstudio in qraph analysis in the middle of analysis.
I tried to run bootnet order, but it takes more than 50 miniutes ! and the only thing in console is "Generating data......."
the code is :
pdf("bootOCT28.pdf")
boot_OCT28
Dinesh Kumar
Reduce the number of iterations: You can try reducing the number of iterations in the "iter" argument of the "bootEGA" function. This will decrease the computational time, but also decrease the accuracy of your results. Subset your data: If possible, you can try subsetting your data to a smaller subset that still represents your population of interest. This will decrease the amount of data that needs to be processed, which should decrease the computational time. Use a faster computer: If possible, you can try running your analysis on a faster computer with more processing power. This should decrease the computational time. Reduce the number of cores: The "ncores" argument of the "bootEGA" function controls the number of cores used for parallel processing. Decreasing the number of cores may decrease the computational time Save the results of your bootstrapping and use them to plot the results later rather than plotting them as you go.
It sounds like the issue may be with the size of your data and the number of iterations you specified. The "bootEGA" function can be computationally intensive, especially when working with large data sets or a high number of iterations.
Here are a few suggestions that may help with the performance of your analysis:
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