booklet -

Changelog 1.0.0

• Prepare the package before submitting to to CRAN
• RENAME FactoMineR2 by booklet
• Change sticker.png

- R
Published by alexym1 about 1 year ago

booklet -

Changelog 0.5.0

• Transform matrix to a "tidyverse" friendly data.frame output (#14)
• Update unit tests for better testing and coverage
• Update vignettes

- R
Published by alexym1 about 1 year ago

booklet -

Changelog 0.4.0

• Add all necessary functions to perform Correspondence Analysis (CA) (#9)
• Replace standardize() and standardize_norm() by pca_standardize() and pca_standardize_norm()
• Replace get_eig() and get_weighted_eigen() by pca_eigen() and pca_weighted_eigen()
• Update all unit tests for better testing and coverage
• Update _pkgdown.yml
• facto_pca was updated to return same outputs as FactoMineR::PCA()
• Contributing.md was updated by including testing coverage

- R
Published by alexym1 over 1 year ago

booklet -

Changelog

• Add facto_mfa() function to perform Multiple Factor Analysis (MFA) (#7)
• Update unit tests for better testing and coverage
• Update _pkgdown.yml

- R
Published by alexym1 over 1 year ago

booklet -

Changelog 0.2.1

• get_weighted_eigen() now returns U matrix as expected (#4)
• pca_ind_coords() & pca_var_coords() return same signs of the corresponding coordinates as FactoMineR.
• facto_pca() has been updated. Now, it returns the same output as FactoMineR::PCA().

- R
Published by alexym1 almost 2 years ago

booklet -

Changelog 0.2.0

• facto_pca() is a wrapper function that mimics FactoMineR::PCA().

• get_weighted_eigen() calculates the same eigs as FactoMineR, whereas get_eigen() calculates the eigs in the unweighted case.

• eigvalues() and eigvectors() were removed.

• pca_var_cos2() now works as expected.

• Comparison.Rmd has been updated allowing to compute supplementary ind./var. coordinates.

- R
Published by alexym1 almost 2 years ago

booklet -

Changelog 0.1.1

• standardize() now works as expected with scale = FALSE (#1)

• A new argument called weights has been added to get_eigen(), eigvalues() and eigvectors() functions. This argument allows to weight the variables in the PCA.

• standardize_norm() has replaced standardize(type = "norm", ...)

• Codecov badge has been fixed and now use master instead of main branch for coding coverage.

- R
Published by alexym1 almost 2 years ago

booklet -

Changelog 0.1.0

• get_eig() is a wrapper function that returns eigenvalues and eigenvectors.

• standardize() is a wrapper function that standardizes the data.

• pca_ind_*() allows to compute coordinates, cos2 and contribution for active individuals in PCA.

• pca_var_*() allows to compute coordinates, cos2 and contribution for active variables in PCA.

• Unit tests were designed for functions mentioned above.

• Website was built and deployed using pkgdown.

- R
Published by alexym1 almost 2 years ago