Skip to content

Instantly share code, notes, and snippets.

Francisco Rodriguez-Sanchez Pakillo

Block or report user

Report or block Pakillo

Hide content and notifications from this user.

Learn more about blocking users

Contact Support about this user’s behavior.

Learn more about reporting abuse

Report abuse
View GitHub Profile
@Pakillo
Pakillo / simulate.gamm.R
Created Mar 3, 2017 — forked from gavinsimpson/simulate.gamm.R
S3 method for simulate() for "gamm" objects from package mgcv
View simulate.gamm.R
`simulate.gamm` <- function(object, nsim = 1, seed = NULL, newdata,
freq = FALSE, unconditional = FALSE, ...) {
if (!exists(".Random.seed", envir = .GlobalEnv, inherits = FALSE))
runif(1)
if (is.null(seed))
RNGstate <- get(".Random.seed", envir = .GlobalEnv)
else {
R.seed <- get(".Random.seed", envir = .GlobalEnv)
set.seed(seed)
RNGstate <- structure(seed, kind = as.list(RNGkind()))
@Pakillo
Pakillo / ShinyPerspectivePlot.R
Created Dec 19, 2016 — forked from leeper/ShinyPerspectivePlot.R
Shiny App for 3D Interaction plots
View ShinyPerspectivePlot.R
library("shiny")
library("shinyjs")
ui <- shinyUI(pageWithSidebar(
titlePanel("", "3D Perspective Plot for Interaction Effects"),
sidebarPanel(
tabsetPanel(
tabPanel("Data",
@Pakillo
Pakillo / beamer_two_col.Rmd
Created Nov 7, 2016 — forked from jhollist/beamer_two_col.Rmd
This .Rmd shows how to use two (or more) columns in a Beamer Presentation from RStudio
View beamer_two_col.Rmd
---
title: "Untitled"
author: "Jeff W. Hollister"
date: "2/2/2016"
output: beamer_presentation
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
@Pakillo
Pakillo / docx2md.md
Created Jan 11, 2016 — forked from jesperronn/docx2md.md
Convert a Word Document into MD
View docx2md.md

Converting a Word Document to Markdown in One Move

The Problem

A lot of important government documents are created and saved in Microsoft Word (*.docx). But Microsoft Word is a proprietary format, and it's not really useful for presenting documents on the web. So, I wanted to find a way to convert a .docx file into markdown.

Installing Pandoc

On a mac you can use homebrew by running the command brew install pandoc.

The Solution

@Pakillo
Pakillo / tables.Rmd
Created Sep 30, 2015 — forked from benmarwick/tables.Rmd
Methods for tables with rmarkdown
View tables.Rmd
---
title: "A few methods for making tables in rmarkdown"
output: html_document
---
Updates:
Packages that have appeared since my original look into this, and seem great:
https://github.com/yihui/printr
View base_r_plotting_tutorial_koontz_d-rug.r
### Title: Back to basics: High quality plots using base R graphics
### An interactive tutorial for the Davis R Users Group meeting on April 24, 2015
###
### Date created: 20150418
### Last updated: 20150423
###
### Author: Michael Koontz
### Email: mikoontz@gmail.com
### Twitter: @michaeljkoontz
###
View iwanthue.R
swatch <- function(x) {
# x: a vector of colours (hex, numeric, or string)
par(mai=c(0.2, max(strwidth(x, "inch") + 0.4, na.rm = TRUE), 0.2, 0.4))
barplot(rep(1, length(x)), col=rev(x), space = 0.1, axes=FALSE,
names.arg=rev(x), cex.names=0.8, horiz=T, las=1)
}
# Example:
# swatch(colours()[1:10])
# swatch(iwanthue(5))
View gdal_project.R
## Function to use GDAL to project coordinate reference system
# See http://www.gdal.org/gdalwarp.html for additional details
# `resampling` can be 'near' (nearest neighbour), 'bilinear', 'cubic', or
# 'lanczos' (Lanczos windowed sinc resampling).
# `extent` should be a bbox object or a vector of c(xmin, ymin, xmax, ymax)
# `of` is the output format (use GDAL short name as given by the name field of
# gdalDrivers(), or at http://www.gdal.org/formats_list.html)
# `extension` is the output extension corresponding to the primary file
# `ot` is the output type (see http://www.gdal.org/gdal_translate.html)
View polygonizer.R
polygonizer <- function(x, outshape=NULL, gdalformat = 'ESRI Shapefile',
pypath=NULL, readpoly=TRUE, quietish=TRUE) {
# x: an R Raster layer, or the file path to a raster file recognised by GDAL
# outshape: the path to the output shapefile (if NULL, a temporary file will be created)
# gdalformat: the desired OGR vector format
# pypath: the path to gdal_polygonize.py (if NULL, an attempt will be made to determine the location
# readpoly: should the polygon shapefile be read back into R, and returned by this function? (logical)
# quietish: should (some) messages be suppressed? (logical)
if (isTRUE(readpoly)) require(rgdal)
if (is.null(pypath)) {
@Pakillo
Pakillo / Rprogramming-syllabus.md
Last active Sep 13, 2016 — forked from hadley/curriculum.md
R programming syllabus by Hadley Wickham
View Rprogramming-syllabus.md

Notes:

  • I've tried to break up in to separate pieces, but it's not always possible: e.g. knowledge of data structures and subsetting are tidy intertwined.

  • Level of Bloom's taxonomy listed in square brackets, e.g. http://bit.ly/15gqPEx. Few categories currently assess components higher in the taxonomy.

Programming R curriculum

Data structures

You can’t perform that action at this time.