New methods

DataCamp

Data Visualization in R with lattice

DATA VISUALIZATION IN R WITH LATTICE

New methods Deepayan Sarkar Associate Professor, Indian Statistical Institute

DataCamp

Non-formula methods High-level lattice functions are "generic functions" First argument need not be a formula Example: Dot plots for tables (matrices, arrays)

Data Visualization in R with lattice

DataCamp

Dot plot on tables: WorldPhones revisited > dotplot(WorldPhones[-1, ], scales = list(x = list(log = 2)), + groups = FALSE, layout = c(1, NA), + strip = FALSE, strip.left = TRUE)

Data Visualization in R with lattice

DataCamp

Dot plot on tables: WorldPhones revisited > dotplot(WorldPhones[-1, ], scales = list(x = list(log = 2)), + groups = TRUE, par.settings = simpleTheme(pch = 16), + auto.key = list(columns = 7))

Data Visualization in R with lattice

DataCamp

Dot plot on named vector > dotplot(sort(precip), xlab = "Average annual precipitation (in.)")

Data Visualization in R with lattice

DataCamp

Data Visualization in R with lattice

DATA VISUALIZATION IN R WITH LATTICE

Let's practice!

DataCamp

Data Visualization in R with lattice

DATA VISUALIZATION IN R WITH LATTICE

New high-level functions Deepayan Sarkar Associate Professor, Indian Statistical Institute

DataCamp

New high-level functions Completely new high-level functions can also be created Needed when panel function is not enough Example: horizonplot() in the latticeExtra package

Data Visualization in R with lattice

DataCamp

Horizon plots > library(latticeExtra) > horizonplot(EuStockMarkets, colorkey = TRUE)

Data Visualization in R with lattice

DataCamp

Data Visualization in R with lattice

Another example: choropleth maps Location-tagged data often best displayed using maps Regions colored according to measurements being displayed Known as choropleth maps Example: mapplot() in the latticeExtra package

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Data Visualization in R with lattice

Choropleth map of USCancerRates data > library(maps) > library(mapproj) > county.map library(latticeExtra) > mapplot(rownames(USCancerRates) ~ log(rate.male), + data = USCancerRates, xlab = "", scales = list(draw = FALSE), + main = "Log-transformed death rates in males (per 100,000)", + map = county.map)



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Choropleth map of USCancerRates data

Data Visualization in R with lattice

DataCamp

Data Visualization in R with lattice

DATA VISUALIZATION IN R WITH LATTICE

Let's practice!

DataCamp

Data Visualization in R with lattice

DATA VISUALIZATION IN R WITH LATTICE

Manipulation of trellis objects Deepayan Sarkar Associate Professor, Indian Statistical Institute

DataCamp

Operating on the "trellis" object > p p

Data Visualization in R with lattice

DataCamp

The useOuterStrips() function > library(latticeExtra) > useOuterStrips(p)

Data Visualization in R with lattice

DataCamp

Data Visualization in R with lattice

DATA VISUALIZATION IN R WITH LATTICE

Let's practice!