Here’s an example of how to color your plot shapes and pch using an ifelse() statement. Ifelse() is handy as it creates an easy way to branch a function. The syntax is: ifelse(logical.condition, option1, option2). Meaning, if the logical condi... [Read more...]

The problem: We often want to plot data and assign plot attributes based on characteristics of the data. For example, if we have a group of students with the following IQs, we might want to indicate who is an outlier in the statistical sense. I like... [Read more...]

Thank’s to Andrej who wrote this comment: “Is it possible to to color the resulting 12 clusters within your original image to get a feel for visual separation?” You can do so: But how to get values at a location? You will need these values to determine whether the defined ... [Read more...]

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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 [Read more...]

Lets go one with the second part of learning R by doing R (you will find the first part here. As we have used vectors, matrices and loops in the first part, we will concentrate on graphics in this one. but first we will need data to plot: Sometimes you ... [Read more...]

This post shows how to create a timeline graph by using ggplot2. Let’s start by loading the ggplot2 library. Next let’s create a dataset which we will use to feed the graph. In the last column (y), I create random positive values for the first three rows (which ... [Read more...]

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With print() If you are an advanced R user, you probably know the lattice and the ggplot2 packages. They allow you to plot elegant graphics with less code (Hocking, 2009 and Sueur, 2010). If you know these two packages, you should hardly use plot() for your graphs. If you read my article ... [Read more...]

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Edward Tufte has written extensively on the presentation of data covering good and bad practice. He has made a number of suggestions for adaptations of regularly used graph types to assist with the interpretation and understanding of data. One idea for enhancing scatter plots covered in Tufte’s book Beautiful ... [Read more...]

“My interpretation of [Leland Wilkinson’s] grammar [of statistical graphics]: —Data is the most important thing, and the thing that you bring to the table. —Geometric objects … what you actually see on the plot: points, lines, polygons, etc. ... [Read more...]

“My interpretation of [Leland Wilkinson’s] grammar [of statistical graphics]: —Data is the most important thing, and the thing that you bring to the table. —Geometric objects … what you actually see on the plot: points, lines, polygons, etc. ... [Read more...]

In order to provide an option to compare graphs produced by basic internal plot function and ggplot2, I recreated the figures in the book, 25 Recipes for Getting Started with R, with ggplot2. The code used to create the images is in separate paragraphs, allowing easy comparison. Read More: 336 Words Totally [Read more...]

HardOCP has an image with an equation which apparently draws the Batman logo. Read More: 1295 Words Totally [Read more...]

Now that I have the FII and DII Inflow along with Nifty Index, I tried my hands on charting!The objective is to plot the Cumulative FII, DII and Net Inflow and Nifty Index for current year (2011) on a single graph. This post takes inspiration from Deep... [Read more...]

Here is the link to the original problem. Briefly, I was unable to plot a custom x-axis showing abbreviated months in a time series plot of a zoo object. In the plot.zoo() function set xaxt = "n" to suppress plotting … Continue reading → [Read more...]

Let’s say you have several categories with multiple data points each that you would like to plot as individual points. Even if you have only a single point, the R graphics package will plot a line (without a box for … Continue reading → [Read more...]