View source: R/createObsDataframe.R
createObsDataframe | R Documentation |
Creates a data fame to hold observations. All values are initially
set to NA_real_
. Once the data fame has been created, it may be filled
from other data fames by imputation.
createObsDataframe(
start.date,
end.date,
timestep = 1,
variables = c("t", "rh", "u", "p"),
reps = 1,
timezone = "",
logfile = ""
)
start.date |
Required. Starting date, in the format Y-m-d, d/m/Y, d-m-Y, d B Y, d b Y, d-B-Y, d-b-Y, B d, Y, or b d, Y, where Y = year, m = month number, B = capitalized month name, b = lower case month name, d = day number. |
end.date |
Required. Ending date,, in the format d/m/Y, d-m-Y, d B Y, d b Y, d-B-Y, d-b-Y, B d, Y, or b d, Y, where Y = year, m = month number, B = capitalized month name, b = lower case month name, d = day number. |
timestep |
Optional. Time interval between values in hours. The default value is 1 hour. The interval can be less than 1 hour. |
variables |
Optional. vector containing the names of variables to be created. The default values are t, rh, u, and p. |
reps |
Optional. The number of repetitions for each value. The default is 1. |
timezone |
Required. The name of the timezone of the data as a character string. This should be the timezone of your data, but omitting daylight savings time. Note that the timezone code is specific to your OS. To avoid problems, you should use a timezone without daylight savings time. Under Linux, you can use CST and MST for Central Standard or Mountain Standard time, respectively. Under Windows or OSX, you can use etc/GMT+6 or etc/GMT+7 for Central Standard and Mountain Standard time. DO NOT use America/Regina as the time zone, as it includes historical changes between standard and daylight savings time. |
logfile |
Optional. Name of the file to be used for logging the action. Normally not used. |
The names for the variables in the data fame are derived from the specified
variables, and the number of reps. For example if the default variable names are
used, with 2 reps, then the variables created will be t.1
, t.2
,
rh.1
, rh.2
, u.1
, u.2
, p.1
, and p.2
.
If successful, the function returns a CRHM data fame with the specified
number of each variable, with values set to be NA
. If unsuccessful, returns
the value FALSE
.
Kevin Shook
impute
vars <- c('t','rh','u')
stoon <- createObsDataframe('1/1/1960', '31/12/1960', variables=vars, reps=2, timezone='etc/GMT+6')
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