So, when you’re setting the position of text in ggplot, you may have to use the hjust and vjust commands. Depending on your demands, and if you don’t understand what they’re doing, they might seem hard to use. I found one script that...
I recently posted a blog about adding text to a ggplot2 faceted plot (LINK). I was unhappy with the amount of time it takes to create the text data frame to then label the plot. And then yesterday when the … Continue reading →![]()
In my experience with R learners there are two basic types. The “show me the code and what it does and let me play” type and the “please give me step by step directions” type. I’ve broken the following tutorial … Continue reading →![]()
I wrote before about heatmap tables as a better way of producing frequency or other tables, with a solution which works nicely in latex. It is possible to do them much more easily in ggplot2, like this library(Hmisc) library(ggplot2) library(reshape) data(HairEyeColor) P=t(HairEyeColor) Pm=melt(P) ggfluctuation(Pm,type="heatmap")+geom_text(aes(label=Pm$value),colour="white")+ opts(axis.text.x=theme_text(size = 15),axis.text.y=theme_text(size = 15)) Note that ggfluctuation will also take … Continue reading...
The Timely Portfolio blog via R-bloggers has recently published some interesting entries about the value of horizon plots for visual comparison of a number of time series. Very nice it looks too. You can read more about them here. The trick to understanding them is to imagine that each row was orginally a line chart … Continue reading...
R has great support for Holt-Winter filtering and forecasting. I sometimes use this functionality, HoltWinter & predict.HoltWinter, to forecast demand figures based on historical data. Using the HoltWinter functions in R is pretty straightforward. Let's say our dataset looks as follows; demand <- ts(BJsales, start = c(2000, 1), frequency = Read more...