I've got a big amount of environmental data as independent variables, so I used a PCA to work better with them. But I have problems in extracting/converting the data from de Principal Components to make them work like variables in different GLMs. I'm working with R software. Can anyone help me?
Thank you,
Ferran
Ferran Oró hello!
factoextra is an R package for extract PCA data.
https://cran.r-project.org/web/packages/factoextra/index.html
You can use PCA scores directly in glm model:
library(tidyverse)
set.seed(1234) #repro
df
Ferran Oró hello!
factoextra is an R package for extract PCA data.
https://cran.r-project.org/web/packages/factoextra/index.html
You can use PCA scores directly in glm model:
library(tidyverse)
set.seed(1234) #repro
df
https://stats.stackexchange.com/questions/22665/how-to-use-principal-components-as-predictors-in-glm
https://arxiv.org/pdf/1907.02647
https://cran.r-project.org/web/packages/glmpca/vignettes/glmpca.html
For data transformation from one domain to another a helpful link is https://stats.stackexchange.com/questions/192722/dimension-reduction-using-pca-in-matlab
Also see: https://cran.r-project.org/web/packages/glmpca/vignettes/glmpca.html
Hello Anton N. Gvozdetsky it worked!
Very good help and explanation!
Thank you so much
Thank you Cristian Ramos-Vera and Muhammad Ali I'll take a look at those links.
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