After some digging I found that this plot function utilizes trellis plots, here is a good rundown on them: https://www.stat.auckland.ac.nz/~ihaka/787/lectures-trellis.pdf
Specifically the xyplot
function is used to create the trellis plot. The help documentation for ?xyplot
shows that you can adjust the argument between
to achieve spacing between panels. The between
argument is a list containing x and y values that represent space between panels. Therefore we can adjust the above code simply by adding the argument between = list(x=0.25, y = 0.25)
and can adjust x and y to our preference like this:
library(openair)
data("mydata")
windRose(mydata[1:144,], ws="ws", wd="wd",
paddle = F,
type = 'weekday',
key.header = 'Wind Speed (m/s)',
key.footer = "",
annotate = F,
angle = 30, # angle of "spokes"...sort of bins for wind direction
cols = 'jet',
key.position = 'right',
dig.lab = 2,
statistic = 'prop.count', #“prop.count” sizes bins according to the
# proportion of the frequency of measurements
fontsize = 20,
grid.line = 100,
max.freq = 105, # maximum value for the radial limits
key = list(header = "Wind Speed (m/s)",
footer = '',
labels = c('0 to 2', '2 to 4',
'4 to 6','6 or more'),
breaks = c(0,2,4,6)),
layout = c(6,1),
between = list(x=0.25, y=0.25)
)
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