R packages are much easier to explore if finding and writing each function is done for you. GUIs presented here do that. Just fill out a PnC dialogue and they generate R code. This is helpful for beginners, lazy and forgetful experts too. These do EDA, stats and viz but not real ML. Bottom 4 can be automatically run and installed from R script at end of this page. Source: http://qr.ae/TU8D3s
I liked trying out everything on my current fave dataset. I really wish I had explored these options as I was starting out because they would have saved me months of work. R studio notebooks are great too but they are better for depth not breadth.
R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be consider.
Custom point-and-click dialogues even if few come with package. 2d graphical workflow helps organize and explain. Most recommended on Quora after Rstudio.
Full IDE like Rstudio. It has very good dialogues for things like package installer and graphics device. Has more common viz analysis pnc gui.
Nicest interface and Unique varieble manipulation GUI, but rattle seems more effective anyway. Might be great for complete beginners. 3D scatterplot. Not all functions in free trial.
Analysis and viz don't seem to export R code. 40$/m 30d trial. lots of built in scrape scripts. good fast interface. common functions rather than unique. crashes
GUI PnC R code generation but gui is clunky and slow. Online only, only 10 hours free. Bunch of unique and useful graphs though.
Maybe great ggploter but does not output R code unless paid and crashes, though in development.
Deducer is similar to rattle but Java based. May be best GGploter with lots of customizable plotting templates.
Of all R GUIs RC's plugins best for exploring esoteric packages and learning stats. Updated enough to write R markdown code.
new.packages <- c("Rcmdr","RcmdrMisc","car","rattle","acepack","htmlTable","cellranger","ggraptR","ggquickeda","esquisse",""ggplotAssist,"ggThemeAssist","JGR","Deducer","DeducerExtras","swirl") new.packages <- new.packages[!(new.packages %in% installed.packages()[,"Package"])] if(length(new.packages)) install.packages(new.packages, dependencies = c("Depends", "Imports", "LinkingTo", "Suggests"))
library(Rcmdr)
#Obtain names of all packages on CRAN names.available.packages <- rownames(available.packages()) #Extract packages names that contain Rcmdr Rcmdr.related.packages <- names.available.packages[grep("Rcmdr", names.available.packages)] Rcmdr.related.packages #Install these packages new.packages <- Rcmdr.related.packages[!(Rcmdr.related.packages %in% installed.packages()[,"Package"])] if(length(new.packages)) install.packages(new.packages, dependencies = c("Depends", "Imports", "LinkingTo", "Suggests"))
library(rattle) rattle()
library(JGR) JGR()
library(ggraptR) ggraptR::ggraptR()
library(ggplot2) p <- ggplot(mtcars, aes(x = hp, y = wt))# + geom_point() + geom_smooth() names(p2) # will show you which objects are available. plot(p2) # shows the updated plot (it is available in the first element of p2)
library("swirl");swirl() #install.packages("sos"); library(sos); findFn("plotPairs"); vignette("sos")
#install.packages("devtools") devtools::install_github("RamiKrispin/MLstudio") #Launch the MLstudio runML()
Comments
http://stagraph.com/Post?Id=31&Title=Powered+By+R R GUIs section. Need to look into JASP, R RED, and Radiant.
I wish Red R had been alive. It was best flow based programming for R just like orange canvas.though I have installers but discontinuation causes it bad for mention.
https://rstudio.github.io/learnr/#overview learnr will eclipse swirl
To self, look into: https://www.r-bloggers.com/introducing-xda-r-package-for-exploratory-data-analysis/ everything here https://sdrakulich.com/lil-bits/r-packages https://cran.r-project.org/web/packages/naniar/index.html https://github.com/mkearney/tidyversity
and more https://paulvanderlaken.com/2017/08/10/r-resources-cheatsheets-tutorials-books/ https://www.reddit.com/r/rstats/comments/6o9v9h/whats_your_favorite_relatively_obscure_r_package/ http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html https://medium.com/activewizards-machine-learning-company/top-20-r-libraries-for-data-science-in-2018-infographic-956f8419f883
https://www.reddit.com/r/rstats/comments/8mpy8c/musthave_r_packages/