mlm.output.statlong.call.rq: Call a linear QUANTILE regression model and reorganize its...

In laubblatt/cleaRskyQuantileRegression: Calculate monthly fractional clear-sky shortwave transmission from global radiation records

Description

sucessfull error handling for errors on function calls when groups are empty

Usage

mlm.output.statlong.call.rq(mula, data, se = "iid", ...)

Arguments

mula	a formula for a lm() regression provided as character using the column names of the data
data	the data table with the column names
...	additional arguments to call rq() in particular the quantile must be set e.g. tau = .90

Value

a data.table with columns statistic and value

Author(s)

Maik Renner, mrenner [at] bgc-jena.mpg.de

Examples

DT = as.data.table(mtcars)
DT[, mlm.output.statlong.call.rq(mula = "mpg ~ drat + gear", data = .SD, tau = 0.5) , by = list(am) ]
# impose an error with a nonexisting column name
DT[, mlm.output.statlong.call.rq(mula = "mpg ~ drat + gear + bogus", data = .SD, tau = 0.5) , by = list(am) ]

laubblatt/cleaRskyQuantileRegression documentation built on Nov. 27, 2019, 12:26 p.m.