Posts Tagged ‘ graphics ’

The R Graphical Manual

December 10, 2009
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R has a lot of functions. Add in all the packages on CRAN, and then there's a lot of functions. You can search through the contents of the function documentation at places like Rseek.org, but the R Graphical Manual takes a different tack on exploring the functions in R: rather than browsing by the name or description of the...

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R Tutorial Series: Scatterplots

November 12, 2009
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R Tutorial Series: Scatterplots

A scatterplot is a useful way to visualize the relationship between two variables. Similar to correlations, scatterplots are often used to make initial diagnoses before any statistical analyses are conducted. This tutorial will explore the ways in whic...

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Example 7.15: A more complex sales graphic

October 13, 2009
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Example 7.15: A more complex sales graphic

The plot of Amazon sales rank over time generated in example 7.14 leaves questions. From a software perspective, we'd like to make the plot prettier, while we can embellish the plot to inform our interpretation about how the rank is calculated.For the latter purpose, we'll create an indicator of whether the rank was recorded in nighttime (eastern US...

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50000 Revisions Committed to R

October 10, 2009
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50000 Revisions Committed to R

oday Romain Francois posted an interesting topic in the R-help list, and you can read his blog post for more details: celebrating R commit #50000. 50000 is certainly not a small number; we do owe R core members a big “thank you” for their great efforts in this fantastic statistical language in the 13 years.

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Example 7.12: Calculate and plot a running average

September 17, 2009
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Example 7.12: Calculate and plot a running average

The Law of Large Numbers concerns the stability of the mean, as sample sizes increase. This is an important topic in mathematical statistics. The convergence (or lack thereof, for certain distributions) can easily be visualized in SAS and R (see also Horton, Qian and Brown, 2004).Assume that X1, X2, ..., Xn are independent and identically distributed realizations...

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Example 7.8: Plot two empirical cumulative density functions using available tools

August 1, 2009
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Example 7.8: Plot two empirical cumulative density functions using available tools

The empirical cumulative density function (CDF) (section 5.1.16) is a useful way to compare distributions between populations. The Kolmogorov-Smirnov (section 2.4.2) statistic D is the value of x with the maximum distance between the two curves. As an...

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RGG#155, 156 and 157

July 21, 2009
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RGG#155, 156 and 157

I pushed 3 more graphics from Biecek Przemyslaw to the graphics gallery A list of popular names for colors from packages RColorBrewer, colorRamps, grDevices A set of examples of few graphical low-level parameters lend, ljoin, xpd, adj, lege...

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RGG# 154: demo of atomic functions

July 7, 2009
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RGG# 154: demo of atomic functions

Przemyslaw Biecek has submitted this graph (and also others I will add later) to the graphics gallery A list of examples for the atomic functions polygon(), segments(), symbols(), arrows(), curve(), abline(), points(), lines(). this figure is t...

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Example 7.4: A prettier jittered scatterplot

July 2, 2009
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Example 7.4: A prettier jittered scatterplot

The plot in section 7.3 has some problems. At the very least, the jittered values ought to be between 0 and 1, so the smoothed lines fit better with them. Once again we use the data generated in section 7.2 as an example. For both SAS and R, we use conditioning (section 1.11.2) to make the jitter happen...

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How to plot a graph in R

June 2, 2009
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How to plot a graph in R

Here's a quick tutorial on how to get a nice looking graph out of R (aka the R Project for Statistical Computing). Don't forget that help for any R command can be displayed by typing the question mark followed by the command. For example, to see help o...

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