Use the dygraph package to display time series of forest products trade data

Plot changes of distribution through time, with overlapping humps.

x_t follows a data generating process based on the normal distribution. The data generating process depends on the previous observation plus an error term: x_t = rho x_{t-1} + e_t

I want to visualise all series in the example dataset airquality: Ozone, Solar.R, Temp and Wind. There are 2 ways to do it: Call ggplot many times on each column name Call ggplot once on a reshaped dataset in long format

tuto

Reply to a LinkedIn R group question.

Use the Air quality example and French Fries example to compare the usage of reshape2 melt() and dcast() functions to tidyr gather() and spread() functions combined with the dplyr group_by() and summarise() functions.

Don't break the chain

GFPMoutput is a an R package that converts DAT files output of GFPM PELPS folders (see http://labs.russell.wisc.edu/buongiorno/welcome/gfpm/) into data frame structures. The GFPMouput package can be used to plot consumption, production and trade volumes for more than 2 scenarios and to automate various calculations such as welfare and value added.

Inspired by Tavish Srivastava’s step by step guide to learn time series modelling. Use rnorm() to generate the error and use Reduce(accumulate=TRUE) to calculate a random walk.

Example plot and shading using the GGPLOT2 package

Example using the package xlsx to read Excel files.

This scripts loads forestry datasets from EUROSTAT and displays data. Original datasets and metadata can be viewed on the eurostat website.