Francisco Rodriguez-Sanchez Pakillo

Precipitation: Worldclim vs Iberian Climatic Atlas

Francisco Rodriguez-Sanchez 2017-05-16

library(knitr)
opts_chunk$set(cache = TRUE, message = FALSE)
library(raster)

Francisco Rodriguez-Sanchez
22 April 2016

Trying new RFc package to get climate data into R from FetchClimate service.

See all the available climate variables here.

	## from: https://logfc.wordpress.com/2017/03/15/adding-figure-labels-a-b-c-in-the-top-left-corner-of-the-plotting-region/

	fig_label <- function(text, region="figure", pos="topleft", cex=NULL, ...) {

	region <- match.arg(region, c("figure", "plot", "device"))
	pos <- match.arg(pos, c("topleft", "top", "topright",
	"left", "center", "right",
	"bottomleft", "bottom", "bottomright"))

	if(region %in% c("figure", "device")) {

	`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()))


	library("shiny")
	library("shinyjs")


	ui <- shinyUI(pageWithSidebar(
	titlePanel("", "3D Perspective Plot for Interaction Effects"),
	sidebarPanel(
	tabsetPanel(
	tabPanel("Data",

	---
	title: "Untitled"
	author: "Jeff W. Hollister"
	date: "2/2/2016"
	output: beamer_presentation
	---

	```{r setup, include=FALSE}
	knitr::opts_chunk$set(echo = FALSE)

	- https://mvuorre.github.io/r/ggplot2-visualizing-prior-posterior/
	- https://users.soe.ucsc.edu/~draper/beta-distributions-r.txt
	- http://shinyapps.org/apps/RGraphCompendium/index.php#prior-and-posterior
	- https://alexanderetz.com/2015/07/25/understanding-bayes-updating-priors-via-the-likelihood/
	- http://doingbayesiandataanalysis.blogspot.com.es/2015/10/posterior-predicted-distribution-for.html
	- http://www.stat.cmu.edu/~hseltman/rube/rubeManual.pdf
	- http://stackoverflow.com/questions/19476744/how-to-plot-bayesian-prior-and-posterior-distributions-in-one-panel-using-r

	### My favourite ggplot2 themes, always accessible ###
	## just source this gist from any project ##


	#####################################################################################

	# Noam's default ggplot2 styling #####
	# Source: https://github.com/noamross/noamtools/blob/master/R/theme_nr.R
	theme_nr <-theme(text=element_text(family="Helvetica", size=14),
	panel.grid.major.x=element_blank(),