# 9 search results for "coplot"

## From spss to R, part 3

March 1, 2016
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In this post we will start with a build-in dataset and some basic ggplot graphics. In the next post we will combine dplyr and ggplot to do awesome stuff with the Dutch University student counts from the previous lessons. We will work with the build-in dataset mtcars. There are many datasets in r library(help = "datasets") but in many examples online...

## Conditioning and Grouping with Lattice Graphics

February 17, 2014
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Conditioning and grouping are two important concepts in graphing that allow us to rapidly refine our understanding of data under consideration. Conditioning, in particular, allows us to view relationships across “panels” with common scales. Each panel contains a plot whose data is “conditional” upon records drawn from the category that supports that particular panel (an

## Conditioning and Grouping with Lattice Graphics

February 17, 2014
By

Conditioning and grouping are two important concepts in graphing that allow us to rapidly refine our understanding of data under consideration. Conditioning, in particular, allows us to view relationships across “panels” with common scales. Each panel contains a plot whose data is “conditional” upon records drawn from the category that supports that particular panel (an

## Stop! (In the name of a sensible interface)

August 12, 2011
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In my last post I talked about using the number of lines in a function as a guide to whether you need to break it down into smaller pieces. There are many other useful metrics for the complexity of a function, most notably cyclomatic complexity, which tracks the number of different routes that code can

## Monster functions (Raaargh!)

August 12, 2011
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It’s widely considered good programming practice to have lots of little functions rather than a few big functions. The reasons behind this are simple. When your program breaks, it’s much nicer to debug a five line function than a five hundred line function. Additionally, by breaking up your code into little chunks, you often find

## Abbreviations of R Commands Explained: 250+ R Abbreviations

May 10, 2010
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The R programming language includes many abbreviations. Abbreviations exist in function names, argument names, and allowed values for arguments. This post expands on over 150 R abbreviations with the aim of making it easier for users new to R who are trying...

## Abbreviations of R Commands Explained: 250+ R Abbreviations

May 10, 2010
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The R programming language includes many abbreviations. Abbreviations exist in function names, argument names, and allowed values for arguments. This post expands on over 150 R abbreviations with the aim of making it easier for users new to R who are trying...

## Scatterplots

March 11, 2009
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There are many types of scatterplots in R, here are some examples based on the famous Iris data.pairs() and coplot() in package graphics.gpairs() in package YaleToolkit.scatterplot.matrix() or spm() in package car.splom() in package lattice.

## Scatterplots

March 11, 2009
By

There are many types of scatterplots in R, here are some examples based on the famous Iris data.pairs() and coplot() in package graphics.gpairs() in package YaleToolkit.scatterplot.matrix() or spm() in package car.splom() in package lattice.

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