plotwindserie: Conversion of dataframe in class 'windata'

In mbonoli/WindResource: Package for studying wind resource

Description

Shape a dataframe in a class 'windata'

Usage

plotwindserie(wdata, year, month, ane, var = c("Ave", "Min", "Max", "Temp",
  "Pres", "Dir"), axis = c("Ave", "Min", "Max", "Temp", "Pres", "Dir"),
  shiny = F)

Arguments

wdata	a dataframe to be converted
year	the admit formats are: - 'YYYYMMDD','YYYY-MM-DD','YYYY.MM.DD' or 'DD/MM/YYYY'
month	the name of the variable that contains the times of measurements
ane	the name of the variable that contains the dates of measurements
var	interval of time betwen two registers. Actually, it's only acepted intervals of 1 minut.
axis	the admit formats are: - 'HHMM','HHMMSS','HH:MM','HH:MM:SS','HH.MM' or 'HH.MM.SS'
shiny	the names to indicate the differents anemometers in the list.

Details

The object windata is a list with the parameters that were mencionated before.

Value

Object of class 'windata' (see details).

Author(s)

Valeria Gogni, Mariano Bonoli, Ruben Bufanio, Diego Edwards

Examples

# simple example using the windspeed data set
data(data)
 
# let's examine windspeed to see the variables' names
head(data)

mbonoli/WindResource documentation built on May 22, 2019, 12:56 p.m.