In dppalomar/sparseEigen: Computation of Sparse Eigenvectors of a Matrix

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Let us download the data (takes a long time):

#devtools::install_github("talgalili/installr")
library(installr)
RStudio_CRAN_data_folder <- download_RStudio_CRAN_data(START = "2017-11-05", END = "2017-12-31")
my_RStudio_CRAN_data <- read_RStudio_CRAN_data(RStudio_CRAN_data_folder)
my_RStudio_CRAN_data <- format_RStudio_CRAN_data(my_RStudio_CRAN_data)
head(my_RStudio_CRAN_data)
sparseEigen_data <- my_RStudio_CRAN_data[package=="sparseEigen"]
save(sparseEigen_data, file = "sparseEigen_data")

Some plots:

lineplot_package_downloads("sparseEigen", my_RStudio_CRAN_data)
barplot_package_users_per_day("sparseEigen", my_RStudio_CRAN_data)

dppalomar/sparseEigen documentation built on May 5, 2019, 12:31 p.m.