R base functions for inspecting a time series of vertical profiles (
Additional arguments affecting the summary produced.
TRUE for an object of class
dim.vpts(): number of datetimes, heights and quantities in a
time series of vertical profiles (
A time series of vertical profiles contains time-ordered vertical profiles
vp) of a single radar. This time series can be regular (
equally spaced in time) or irregular (time steps between
vp are of
unequal length), indicated in the field
regular. Irregular time series can
be projected onto a regular time grid with
regularize_vpts(). A time series
of vertical profile (
vp) object is a list containing:
radar: Radar identifier.
datetime: Nominal times of the profiles (named
dates in bioRad <
0.4.0) in UTC.
height: Lowest height of the height bins in the profiles in m above sea
daterange: Minimum and maximum nominal time of the profiles in UTC.
timesteps: Time differences between the profiles. Element
i gives the
difference between profile
data: A list of quantities, each containing a
matrix with the values. Use
get_quantity() to access these and see
summary.vp() for a description of available quantities.
attributes: List of the vertical profile's
attributes, copied from the first profile.
regular: Logical indicating whether the time series is regular or not.
NA: Maps to
nodata in the ODIM convention: value to denote areas void
of data (never radiated).
NaN: Maps to
undetect in the ODIM convention: denote areas below the
measurement detection threshold (radiated but nothing detected). The value is
also used when there are too few datapoints to calculate a quantity.
0: Maps to
0 in the ODIM convention: denote areas where the quantity
has a measured value of zero (radiated and value zero detected or inferred).
# Check if an object is of class vpts is.vpts(example_vpts) #>  TRUE # Get summary info example_vpts # Same as summary(example_vpts) or print(example_vpts) #> Irregular time series of vertical profiles (class vpts) #> #> radar: KBGM #> # profiles: 1934 #> time range (UTC): 2016-09-01 00:02:00 - 2016-09-10 11:56:00 #> time step (s): min: 180 max: 16320 # Get dimensions dim(example_vpts) #>  1934 25 15