## 26.21 Choosing Dimensions

REVIEW

# Load packages from the local library into the R session.

library(rattle)   # For the weatherAUS dataset.
library(ggplot2)  # To generate a density plot.

# Identify cities of interest.

cities <- c("Canberra", "Darwin", "Melbourne", "Sydney")

# Generate the plot.

weatherAUS %>%
subset(Location %in% cities & ! is.na(Temp3pm)) %>%
ggplot(aes(x=Temp3pm, colour=Location, fill=Location)) +
geom_density(alpha=0.55)

Often a bit of trial and error is required to get the dimensions right. Notice though that increasing the fig.width= as we did for the previous plot, and/or increasing the fig.height=, effectively also reduces the font size. Actually, the font size remains constant whilst the figure grows (or shrinks) in size. Sometimes it is better to reduce the fig.width or fig.height to retain a good sized font.

The above plot was generated with the following knitr (Xie 2021) options.

<<myfigure, echo=FALSE, fig.height=3.5}
... R code ...
@

### References

———. 2021. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.

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