hm_plot | R Documentation |
ggplot2
or plotly
(interactive)This method allows you to make plots (using simple and expressive arguments)
of the variables contained inside an hydromet_XXX
class object.
The plot outputs can be static (ggplot2
) or dynamic (plotly
).
hm_plot(
obj,
slot_name,
col_name,
interactive = FALSE,
line_type = NULL,
line_color = NULL,
line_size = NULL,
line_alpha = NULL,
x_lab = "date",
y_lab = "y",
title_lab = NULL,
legend_lab = NULL,
dual_yaxis = NULL,
from = NULL,
to = NULL,
scatter = NULL
)
## S4 method for signature 'hydromet_station'
hm_plot(
obj,
slot_name,
col_name,
interactive = FALSE,
line_type = NULL,
line_color = NULL,
line_size = NULL,
line_alpha = NULL,
x_lab = "date",
y_lab = "y",
title_lab = NULL,
legend_lab = NULL,
dual_yaxis = NULL,
from = NULL,
to = NULL,
scatter = NULL
)
## S4 method for signature 'hydromet_compact'
hm_plot(
obj,
slot_name,
col_name,
interactive = FALSE,
line_type = NULL,
line_color = NULL,
line_size = NULL,
line_alpha = NULL,
x_lab = "date",
y_lab = "y",
title_lab = NULL,
legend_lab = NULL,
dual_yaxis = NULL,
from = NULL,
to = NULL,
scatter = NULL
)
obj |
a valid |
slot_name |
string vector with the name of the slot(s) to use in plotting. |
col_name |
list containing the column name of the variables to plot. Every element inside the list belongs to the previous defined slot(s). |
interactive |
logical. Default value, |
line_type |
string with the name of the line dash type ( |
line_color |
string with a valid |
line_size |
numeric vector containing the size of every line to plot. If you use
the |
line_alpha |
numeric vector with line(s) transparency. From 0 (invisible) to 1. |
x_lab |
string with |
y_lab |
string with |
title_lab |
string with the title of the plot. Default is a plot without title. |
legend_lab |
string vector with plot label(s) name(s). |
dual_yaxis |
string vector suggesting which variables are assign either to
the |
from |
string value for |
to |
string value for |
scatter |
string vector (of length two) suggesting which variables goes in
the |
A ggplot2
or plotly
object.
hm_plot(hydromet_station)
: plot method for station class
hm_plot(hydromet_compact)
: plot method for compact class
## Not run:
# lets work with the cuevas station
path <- system.file('extdata', package = 'hydrotoolbox')
# use the build method
hm_cuevas <-
hm_create() %>%
hm_build(bureau = 'ianigla', path = path,
file_name = 'ianigla_cuevas.csv',
slot_name = c('tair', 'rh', 'patm',
'precip', 'wspd', 'wdir',
'kin', 'hsnow', 'tsoil'),
by = 'hour',
out_name = c('tair(°C)', 'rh(%)', 'patm(mbar)',
'p(mm)', 'wspd(km/hr)', 'wdir(°)',
'kin(kW/m2)', 'hsnow(cm)', 'tsoil(°C)' )
)
# let's start by making a single variable static plot
hm_plot(obj = hm_cuevas, slot_name = 'tair',
col_name = list('tair(°C)') )
# we add labels, change color, line type and we focus
# on specific date range
hm_plot(obj = hm_cuevas, slot_name = 'tair',
col_name = list('tair(°C)'),
line_type = 'longdash',
line_color = 'dodgerblue',
x_lab = 'Date time', y_lab = 'T(°C)',
title_lab = 'Hourly temperature at Cuevas',
legend_lab = 'Tair',
from = ISOdate(2020, 7, 1),
to = ISOdate(2020, 7, 5))
# compare air with soil temperature
hm_plot(obj = hm_cuevas, slot_name = c('tair', 'tsoil'),
col_name = list('tair(°C)', 'tsoil(°C)'),
line_type = c('longdash', 'solid'),
line_color = c('dodgerblue', 'tan4'),
x_lab = 'Date time', y_lab = 'T(°C)',
title_lab = 'Hourly temperature at Cuevas',
legend_lab = c('Tair', 'Tsoil'),
from = ISOdate(2020, 7, 1),
to = ISOdate(2020, 7, 5))
# let's add relative humidity on the right y-axis
hm_plot(obj = hm_cuevas, slot_name = c('tair', 'tsoil', 'rh'),
col_name = list('tair(°C)', 'tsoil(°C)', 'rh(%)'),
line_type = c('longdash', 'solid', 'solid'),
line_color = c('dodgerblue', 'tan4', 'red'),
x_lab = 'Date time', y_lab = c('T(°C)', 'RH(%)'),
title_lab = 'Hourly meteo data at Cuevas',
legend_lab = c('Tair', 'Tsoil', 'RH'),
dual_yaxis = c('left', 'left', 'right'),
from = ISOdate(2020, 7, 1),
to = ISOdate(2020, 7, 5))
# we decide to analize the previous variables in detail
# with a dynamic plot
hm_plot(obj = hm_cuevas, slot_name = c('tair', 'tsoil', 'rh'),
col_name = list('tair(°C)', 'tsoil(°C)', 'rh(%)'),
line_color = c('dodgerblue', 'tan4', 'red'),
x_lab = 'Date time', y_lab = c('T(°C)', 'RH(%)'),
title_lab = 'Hourly meteo data at Cuevas',
legend_lab = c('Tair', 'Tsoil', 'RH'),
dual_yaxis = c('left', 'left', 'right'),
interactive = TRUE)
# click on the Zoom icon and play a little...
# suppose now that we want to make a scatter plot to show
# the negative correlation between air temperature and
# relative humidity
hm_plot(obj = hm_cuevas, slot_name = c('tair', 'rh'),
col_name = list('tair(°C)', 'rh(%)'),
line_color = 'dodgerblue',
x_lab = 'Tair', y_lab = 'RH',
scatter = c('x', 'y') )
## End(Not run)
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