Last data update: 2014.03.03
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R: Create cluster variable plot.
createClusterPairsPlot | R Documentation |
Create cluster variable plot.
Description
Create cluster variable plot.
Usage
createClusterPairsPlot(km, baseSize = 12, baseFamily = "serif",
title = "Cluster Variable Pairs", ticks = FALSE,
defaultTheme = theme_tufte(base_size = baseSize, base_family = baseFamily,
ticks = ticks), themeExtra = theme(), ...)
Arguments
km |
an object of class "toakmeans" returned by computeKmeans .
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baseSize |
theme base font size.
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baseFamily |
theme base font family.
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title |
plot title.
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ticks |
logical Show axis ticks using default theme settings (see defaultTheme )?
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defaultTheme |
plot theme settings with default value theme_tufte . More themes
are available here: ggtheme (by ggplot2)
and ggthemes .
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themeExtra |
any additional theme settings that override default theme.
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... |
other parameters being suplied to geom's aes .
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Value
ggplot object
Examples
if(interactive()){
# initialize connection to Lahman baseball database in Aster
conn = odbcDriverConnect(connection="driver={Aster ODBC Driver};
server=<dbhost>;port=2406;database=<dbname>;uid=<user>;pwd=<pw>")
km = computeKmeans(conn, "batting", centers=5, iterMax = 25,
aggregates = c("COUNT(*) cnt", "AVG(g) avg_g", "AVG(r) avg_r", "AVG(h) avg_h"),
id="playerid || '-' || stint || '-' || teamid || '-' || yearid",
include=c('g','r','h'), scaledTableName='kmeans_test_scaled',
centroidTableName='kmeans_test_centroids',
where="yearid > 2000")
km = computeClusterSample(conn, km, 0.01)
createClusterPairsPlot(km, title="Batters Clustered by G, H, R", ticks=FALSE)
}
Results
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