Deleetdk

"LD_* scout runtime" information:
{
  "can-write-uinput" : true,
  "steam-installation" : {
    "path" : "/home/emil/.steam",
    "data_path" : "/home/emil/.steam",
    "bin32_path" : "/home/emil/.steam/ubuntu12_32",
    "steamscript_path" : "/usr/bin/steam",
    "steamscript_version" : "1.0.0.78",
    "issues" : [

Deleetdk

System:
  Host: computer Kernel: 5.15.0-89-generic x86_64 bits: 64
    Desktop: Cinnamon 5.6.8 Distro: Linux Mint 21.1 Vera
Machine:
  Type: Desktop System: ASUS product: N/A v: N/A serial: <superuser required>
  Mobo: ASUSTeK model: Pro WS WRX80E-SAGE SE WIFI II v: Rev 1.xx
    serial: <superuser required> UEFI: American Megatrends v: 0204
    date: 11/10/2022
CPU:
  Info: 16-core model: AMD Ryzen Threadripper PRO 5955WX s bits: 64

Deleetdk

library(googlesheets4)
library(kirkegaard)

theme_set(theme_bw())

#read data
d = read_sheet("https://docs.google.com/spreadsheets/d/1cPApEVEPNj4DXTB7LN7hd7B6WxYQiottbfHFt72tCzE/edit#gid=0")

#transform to long form for plotting
d_long = d %>% 

Deleetdk

library(tidyverse)

#simulate datasets
sibs = 20
x = map_df(seq(0, 1, .01), function(r) {
  #simulate sibling scores at correlation r
  matrix = matrix(r, ncol = sibs, nrow = sibs)
  diag(matrix) = 1
  mvrnorm(n = 1e4,
          Sigma = matrix,

Deleetdk

library(kirkegaard)

#get cors with p values
cors = iris[-5] %>%
  wtd.cor()

cors = mpg[map_lgl(mpg, is.numeric)] %>%
  wtd.cor()

#long format

Deleetdk

#!/usr/bin/env Rscript
library(stringr)

#scape spaces
escape_spaces = function(x) {
    str_replace_all(x, fixed(" "), "\\ ")
}

#get args
args = commandArgs(trailingOnly=TRUE)

Deleetdk

#CRAN versions dont work
#devtools::install_github("lmullen/gender")
#devtools::install_github("lmullen/genderdata")
library(rvest)
library(kirkegaard)
library(gender)
library(patchwork)

theme_set(theme_classic())

Deleetdk

/*
Function
This bookmarklet helps you quickly search Google Scholar for a given string with added keywords.
By default these keywords are words related to mortality of diseases: prognosis, life expectancy, natural history and mortality.
You can change them below.

How to use
Make a new bookmark. In the location, place the javascript code below.
*/
javascript:(function(){

Deleetdk

### REPLICATION OF DUNKEL AND DUTTON 2016
# Religiosity as a predictor of in-group favoritism within and between religious groups
# This assumes you have the OKCupid data loaded as d_main with various variables already created.

# recode ------------------------------------------------------------------
#own race preference
d_main$prefer_own_race = (d_main$q123 == "Yes") %>% as.factor()
table(d_main$prefer_own_race)

#religious

Deleetdk

### ESTIMATE TEST-RETEST RELIABILITY OF ICAR5

library(pacman)
p_load(kirkegaard, weights, psych, magrittr, ggplot2)
#install kirkegaard from https://github.com/Deleetdk/kirkegaard if necessary

# data --------------------------------------------------------------------

#SAPA data
load("data/sapa/sapaICARData18aug2010thru20may2013.rdata")