## Claim: this is my personal trick. I recommend people subscribe to their KEGG FTP download to support the authors.
# change folder to the folder where your SPIA installed, for example in my Mac
cd /Library/Frameworks/R.framework/Versions/4.0/Resources/library/SPIA
# download all XML and png files for all human pathway
curl -s http://rest.kegg.jp/list/pathway/hsa | awk '{split($1,a,":"); print "curl -s http://rest.kegg.jp/get/"a[2]"/kgml -o extdata/keggxml/hsa/"a[2]".xml"}' | bash
curl -s http://rest.kegg.jp/list/pathway/hsa | awk '{split($1,a,":"); print "curl -s http://rest.kegg.jp/get/"a[2]"/image -o extdata/keggxml/hsa/"a[2]".png"}' | bash
# then switch to R console
setwd("/Library/Frameworks/R.framework/Versions/3.4/Resources/library/SPIA")
library(SPIA)
makeSPIAdata(kgml.path=system.file("extdata/keggxml/hsa",package="SPIA"),organism="hsa",out.path="./extdata")
Done!
# then switch to R console
setwd("/Library/Frameworks/R.framework/Versions/3.4/Resources/library/SPIA")
library(SPIA)
makeSPIAdata(kgml.path=system.file("extdata/keggxml/hsa",package="SPIA"),organism="hsa",out.path="./extdata")
Done!