# Posts Tagged ‘ lattice ’

## How to display scatter plot matrices with R and lattice

In lattice, there is a function called splom for the display of scatter plot matrices. For large datasets, the panel.hexbinplot from the hexbin package is a better option than the default panel. As an example, let’s use some meteorological data from MAPA-SIAR: library(solaR) library(hexbin) aranjuez <- readMAPA(prov=28, est=3, start='01/01/2004', end='31/12/2010') aranjuezDF <- subset(as.data.frame(getData(aranjuez)), select=c('TempMedia', 'TempMax',

## Five ways to visualize your pairwise comparisons

March 5, 2011
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In data analysis it is often nice to look at all pairwise combinations of continuous variables in scatterplots. Up until recently, I have used the function splom in the package lattice, but ggplot2 has superior aesthetics, I think anyway.Here a fe...

## Confidence bands with lattice and R

December 10, 2010
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If you use lattice with R, and you need to plot confidence limits in your graphic, then panel.smoother and panel.quantile from latticeExtra will help you with this task. These functions internally calculate the error bounds and use panel.polygon from lattice. If you need to plot your own confidence limits, then you have to define a

## Creating surface plots

May 28, 2010
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A 3d wireframe plot is a type of graph that is used to display a surface – geographic data is an example of where this type of graph would be used or it could be used to display a fitted model with more than one explanatory variable. These plots are related to contour plots which

## Displaying data using level plots

May 3, 2010
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A level plot is a type of graph that is used to display a surface in two rather than three dimensions – the surface is viewed from above as if we were looking straight down and is an alternative to a contour plot – geographic data is an example of where this type of graph

## Analysis of Covariance – Extending Simple Linear Regression

April 28, 2010
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The simple linear regression model considers the relationship between two variables and in many cases more information will be available that can be used to extend the model. For example, there might be a categorical variable (sometimes known as a covariate) that can be used to divide the data set to fit a separate linear

## Summarising data using box and whisker plots

April 25, 2010
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A box and whisker plot is a type of graphical display that can be used to summarise a set of data based on the five number summary of this data. The summary statistics used to create a box and whisker plot are the median of the data, the lower and upper quartiles (25% and 75%)

## Simple Linear Regression

April 23, 2010
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One of the most frequent used techniques in statistics is linear regression where we investigate the potential relationship between a variable of interest (often called the response variable but there are many other names in use) and a set of one of more variables (known as the independent variables or some other term). Unsurprisingly there

## Summarising data using scatter plots

April 18, 2010
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A scatter plot is a graph used to investigate the relationship between two variables in a data set. The x and y axes are used for the values of the two variables and a symbol on the graph represents the combination for each pair of values in the data set. This type of graph is

## Working with themes in Lattice Graphics

April 12, 2010
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The Trellis graphics approach provides facilities for creating effective graphs with a consistent look and feel and one of the good things about the system is the use of themes to define the colour, size and other features of the components that make up a graph. The lattice package in R is an implementation of