even4void

# Compute % agreement between any two columns in a data.frame
dfrm <- data.frame(replicate(18, sample(letters[1:3], 30, replace=TRUE)))

agree <- function(df, i, j) {
  tab <- table(df[,c(i,j)])   
  sum(diag(tab))/sum(tab)
}

# Solution 1
vagree <- Vectorize(agree, vectorize.args=list("i","j"))

even4void

RMDFILE=demo-rmd-pandoc
PANDOC=~/.cabal/bin/pandoc

all:
	Rscript -e "require(knitr); require(markdown); knit('$(RMDFILE).rmd', '$(RMDFILE).md'); purl('$(RMDFILE).rmd')"
	${PANDOC} --mathjax --toc -B header.html -A footer.html --bibliography refs.bib --css markdown.css -s $(RMDFILE).md -o $(RMDFILE).html
 

even4void

library(lme4)
data(sleepstudy)

## Fit individual regression lines for each subject
dfrm <- coef(lmList(Reaction ~ Days | Subject, sleepstudy))

## Estimate parameters of a random intercept and random intercept and slope model
m1 <- lmer(Reaction ~ Days + (1 | Subject), data=sleepstudy)
m2 <- lmer(Reaction ~ Days + (Days | Subject), data=sleepstudy)

even4void

## ESTIMATE SAMPLE SIZE NEEDED to achieve a given power in univariate twin studies.
##
## Input:
##   pmz: sampling fraction MZ/DZ
##   tmz: intraclass correlation for MZ twins
##   tdz: intraclass correlation for DZ twins
##   alpha: level I risk level
##   beta: level II risk level (power = 1 - beta)
##
## Output:

even4void

(require 'offlineimap)
(add-to-list 'load-path "~/.emacs.d/lib/mu4e")
(require 'mu4e)
(require 'mu4e-maildirs-extension)
(mu4e-maildirs-extension)

(setq mu4e-drafts-folder "/drafts"
      mu4e-sent-folder   "/sent"
      mu4e-trash-folder  "/trash")
(setq mu4e-maildir-shortcuts

even4void

(add-to-list 'auto-mode-alist '("\\.md\\'" . markdown-mode))
(add-to-list 'auto-mode-alist '("\\.Rmd\\'" . markdown-mode))
(add-to-list 'auto-mode-alist '("\\.rmd\\'" . markdown-mode))
(add-hook 'markdown-mode-hook 'turn-on-outline-minor-mode)

(defun rmarkdown-new-chunk (name)
  "Insert a new R chunk."
  (interactive "sChunk name: ")
  (insert "\n```{r " name "}\n")
  (save-excursion

even4void

// Time-stamp: <2013-11-11 17:58:52 chl>

// gcc -Wall 1.c -lgsl -lgslcblas -lm

#include <stdio.h>
#include <gsl/gsl_cdf.h>

int main(void) {

  double p;

even4void

## Time-stamp: <2016-05-27 13:18:56 chl>

##
## General purpose script to illustrate the estimation of path coefficients
## in a Partial Least Squares Path Model (PLS-PM) and multi-group comparison
## using resampling (permutation test).
##

library(plspm)
library(simsem)

even4void

#lang racket

;; Euler problem 15

(define (reduce f xs)
  (and (not (empty? xs)) (foldl f (first xs) (rest xs))))

(define (f n)
  (reduce (lambda (x y) (* x y)) (range 1 (add1 n))))

even4void

command! -range Gist call system('gist', getbufline('%', <line1>, <line2>))

command! -bang -nargs=* History
      \ call fzf#vim#history({'options': '--no-sort'})