![]() ![]() This offers great flexibility for understanding the variation ofĭifferent variables and how they depend on one another. Variable, then those categories/levels will be used directly. If type is an existing character or factor If that variable is numeric, then the data willīe split into four quantiles (if possible) and labelledĪccordingly. ![]() It is also possible to choose type as another variable in ForĮxample, type = "season" will produce four plots - one Type can be one of theīuilt-in types as detailed in cutData e.g. Type determines how the data are split i.e.Ĭonditioned, and then plotted. The wind speed interval may need adjusting using width. Low met masts with low mean wind speeds a value of 1 or 0.5 m/s The user can supply a second set of wind speed and windĭirection values with which the first can be compared. Name of the column representing wind direction. Name of the column representing wind speed. Key.position = "right", key = TRUE, breaks = 6, paddle = FALSE, ) pollutionRose ( mydata, pollutant = "nox", key.footer = pollutant, Key.position = "bottom", key = TRUE, dig.lab = 5, statistic = "unt", pollutant = NULL, annotate = TRUE, angle.scale = 315, border = NA. ![]() = TRUE, breaks = 4, offset = 10, normalise = FALSE, max.freq = NULL, paddle = TRUE, key.header = NULL, key.footer = "(m/s)", = "default", grid.line = NULL, width = 1, seg = NULL, auto.text Ws.int = 2, angle = 30, type = "default", rr = TRUE, cols windRose ( mydata, ws = "ws", wd = "wd", ws2 = NA, wd2 = NA, Same plot structure but substitutes other measurements, mostĬommonly a pollutant time series, for wind speed. The traditional wind rose plot that plots wind speed and windĭirection by different intervals. ![]()
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