Description Usage Arguments Value Examples
Plot to compare barometric efficiency. Large datasets may take a long time to plot. Subsample should be set to TRUE
1 | be_visual_plot(dat, time = "datetime", subsample = TRUE)
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dat |
data that has the independent and dependent variables (data.table) |
time |
name of the column containing the time (character) |
subsample |
should the data be subsampled for plotting? (logical) |
plotly graph for barometric efficiency estimation with Smith method
1 2 3 4 5 6 7 8 9 10 11 12 | library(plotly)
library(data.table)
be <- 0.43
x <- seq(0, 28 * pi, pi / (12 * 12))
baro <- sin(x) + rnorm(length(x), sd = 0.04)
wl <- -sin(x) * be + rnorm(length(x), sd = 0.04)
dat <- data.table(datetime = as.POSIXct(x * 86400 / (2 * pi),
origin = '1970-01-01', tz = 'UTC'),
wl = wl, baro = baro)
dat_be <- be_visual_data(dat)
#be_visual_plot(dat_be) #not run
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