ashiklom

#!/bin/bash

# This is an example comment on this issue

# Get arguments
infile=${1}

outdir=${2-"output"}
mkdir -p $outdir

ashiklom

#!/bin/bash

infile=$1
outfile=${infile/code/gif}

if [ `head -n1 $infile` == "auxfig" ]; then
    code=`tail -n +2 $infile`
    echo "Auxfile"
    auxfile=1
else

ashiklom

Figures

• Add ellipse instead of data points for observations in pft plots
• Try with plotted means
• Read ggplot2 stat_ellipse code

ashiklom

library(rstan)
library(MASS)

# Simulate some data
mu <- c(10, 5, -5)
Sig <- matrix(c(1, 0.7, 0.8,
                0.7, 2, 0.2,
                0.8, 0.2, 1.5), 
              3, 3)
N <- 100

ashiklom

<?xml version="1.0"?><pecan>
 <info>
  <notes/>
  <userid>1000000001</userid>
  <username>Mike Dietze</username>
  <date>2016/07/06 20:00:33 -0400</date>
 </info>
 <outdir>/fs/data2/output//PEcAn_1000002164</outdir>
 <database>
  <bety>

ashiklom

R version 3.4.0 (2017-04-21) -- "You Stupid Darkness"
Copyright (C) 2017 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and

ashiklom

year patch cohort dbh hite pft dens bd ba  avgRg
2002 1     1      0.2 2    15  100  0  0.1 -999.0

ashiklom

Create a web-based interactive visualization app of the Earth Surface Temperature Data from Berkeley Earth (https://www.kaggle.com/berkeleyearth/climate-change-earth-surface-temperature-data) in RShiny (https://shiny.rstudio.com/). Your app should include, at a minimum, a separate tab for each of the following:

• A line plot of temperate by country, selecting the country from a drop-down menu.
  • BONUS: Visualize temperature uncertainty on the same graph
  • BONUS: The option to apply a moving window average or other smoothing algorithm to the data. Extra points if the algorithm's parameters can be customized by the user via sliders and/or drop-down menus
• A bivariate scatter plot of temperatures for two different countries, selected from a drop-down menu by the user
  • BONUS: Visualize temperature uncertainties on the same graph
• BONUS: Fit a linear regression through the data. Extra points for additional, related analyses (e.g. correlation coefficient, major axis regression), especially if they can be

ashiklom

<?xml version="1.0"?>
<!DOCTYPE config SYSTEM "ed.dtd">
<config>
 
 <pft>
  <num>9</num>
  <is_tropical>0</is_tropical>
  <is_grass>0</is_grass>
  <include_pft>1</include_pft>
  <include_pft_ag>0</include_pft_ag>

ashiklom

#' Read an `Rdata` file into a list (rather than into the global
#' environment)
#'
#' @param file Target file name
#' @return Named list containing objects in `file`.
#' @author Alexey Shiklomanov
#' @examples
#' \dontrun{
#' mylist <- load_local("file.RData")
#' }