Create a wind-rose object, typically for plotting with
plot,windrose-method().
Usage
as.windrose(x, y, dtheta = 15, debug = getOption("oceDebug"))Arguments
- x
The x component of wind speed (or stress) or an object of class
met(see met), in which case theuandvcomponents of that object are used for the components of wind speed, andyhere is ignored.- y
The y component of wind speed (or stress).
- dtheta
The angle increment (in degrees) within which to classify the data.
- debug
A flag that turns on debugging. Set to 1 to get a moderate amount of debugging information, or to 2 to get more.
Value
A windrose object, with data slot containing
| Item | Meaning |
n | the number of x values |
x.mean | the mean of the x values |
y.mean | the mean of the y values |
theta | the central angle (in degrees) for the class |
count | the number of observations in this class |
mean | the mean of the observations in this class |
fivenum | the fivenum() vector for
observations in this class (the min, the lower hinge, the
median, the upper hinge, and the max) |
See also
Other things related to windrose data:
[[,windrose-method,
[[<-,windrose-method,
plot,windrose-method,
summary,windrose-method,
windrose-class
Examples
library(oce)
set.seed(1234)
theta <- seq(0, 360, 0.25)
x <- 1 + cos(pi / 180 * theta) + rnorm(theta)
y <- sin(pi / 180 * theta) + rnorm(theta)
wr <- as.windrose(x, y)
summary(wr)
#> Windrose data
#> -------------
#>
#> * Have n= 24 angles, separated by dtheta= 15
#>
#> * Data Overview
#>
#> Min. Mean Max. Dim. NAs
#> n 1441 1441 1441 1 0
#> x.mean 0.99206 0.99206 0.99206 1 0
#> y.mean 0.013422 0.013422 0.013422 1 0
#> theta -172.5 1.1842e-14 172.5 24 0
#> count 14 60.042 142 24 0
#> mean 1.0569 1.584 2.1238 24 0
#> fives 0.043288 1.6777 4.9429 "24x5" 0
#>
#> * Processing Log
#>
#> - 2024-12-17 16:38:46 UTC: `create 'windrose' object`
#> - 2024-12-17 16:38:46 UTC: `as.windrose(x = x, y = y)`