Loading your data into R with rio packages The rio package is a relatively recent R package, developed by Thomas J. Leeper, which makes data import and export in R painless and quick. This objective is mainly reached when rio makes assumptions about the file format. This means that the ri...
files<-c('../assets/data/fast_load/df.csv','../assets/data/fast_load/df.feather','../assets/data/fast_load/df.RData','../assets/data/fast_load/df.rds')info<-file.info(files)info$size_mb<-info$size/(1024*1024)print(subset(info,select=c("size_mb"))) ## size_mb ## ../...
You can download that from GitHub: https://github.com/PacktPublishing/Advanced-Machine-Learning-with-R/blob/master/Data/amesDL.RData. Once you have that in your working directory, load it into the environment: > load("amesDL.RData") Notice that you now have four new objects: trained: ...
You can download that from GitHub: https://github.com/PacktPublishing/Advanced-Machine-Learning-with-R/blob/master/Data/amesDL.RData. Once you have that in your working directory, load it into the environment: > load("amesDL.RData") Notice that you now have four new objects: trained: ...
Recently we were building a Shiny App in which we had to load data from a very large dataframe. It was directly impacting the app initialization time, so we had to look into different ways of reading data from files to R (in our case customer provided ..