Ashish Damania ashishdamania

🎯

Focusing

Data Scientist

danlooo / ggeulerr.R

Last active February 18, 2025 23:55

Area proportional venn diagrams in R using ggplot2 and eulerr (eulerr does not return a ggplot object)

	library(tidyverse)
	library(eulerr)
	library(ggforce)

	#' Area proportional venn diagrams
	#'
	#' This functions uses eulerr::euler to plot area proportional venn diagramms
	#' but plots it using ggplot2
	#'
	#' @param combinations set relationships as a named numeric vector, matrix, or data.frame(See `eulerr::euler`)

benmarwick / rotate-axis-labels-ggplot2.R

Last active March 30, 2024 08:00

I can never remember how to rotate the x-axis labels with ggplot2: theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5))

	# Adapted from https://stackoverflow.com/a/7267364/1036500 by Andrie de Vries

	# This is it: theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5))

	library(ggplot2)

	td <- expand.grid(
	hjust=c(0, 0.5, 1),
	vjust=c(0, 0.5, 1),
	angle=c(0, 45, 90),

graceavery / harryPotterAliases

Last active September 20, 2024 22:13

bash aliases for Harry Potter enthusiasts

	alias accio=wget
	alias avadaKedavra='rm -f'
	alias imperio=sudo
	alias priorIncantato='echo `history \|tail -n2 \|head -n1` \| sed "s/[0-9]* //"'
	alias stupefy='sleep 5'
	alias wingardiumLeviosa=mv

	alias sonorus='set -v'
	alias quietus='set +v'

johanez / rf_parallel.R

Created May 22, 2015 08:25

randomForest CV based variable selection (rfcv) wrapper, that returns the best rf_model and important variable names.

	# paralell RF with foreach
	# careful: no confusion, err.rate, mse and rsq components
	# (as well as the corresponding components in the test compnent, if exist)
	rf_parallel <- function(x, y, ntree=500, ncore=4, ...){
	require(foreach)
	require(randomForest)
	# optional parallel backend
	if (ncore > 1) {
	require(doParallel)
	registerDoParallel(ncore)

casallas / multinomial.md

Last active January 14, 2023 22:12

R Packages/Functions/Resources for multinomial (ordinal & categorical) regression

Package	Ordinal	Multinomial	Partial proportional odds	Scale Effects	Random Effects
nnet	no	`multinom`	N/A	N/A	No
MASS	`polr`	No	No	No	No
ordinal	`clm`/`clm2`	all X's in `nominal` (may not converge)	offending X's in `nominal`	via `scale`	`clmm`/`clmm2`
VGAM	yes	?	?	?	No
MCMCglmm	yes	?	?	?	?
Mixcat	yes	?	?		`npmlt`
mlogit	?	`mlogit`	N/A	N/