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

In laubblatt/phaselag: Calculate the phase lag between two variables

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(mula = "mpg ~ drat + gear", data = .SD) , by = list(am) ]
# impose an error with a nonexisting column name
DT[, mlm.output.statlong.call(mula = "mpg ~ drat + gear + bogus", data = .SD) , by = list(am) ]
# use ... to weight the regression
DT[, mlm.output.statlong.call(mula = "mpg ~ drat + gear", data = .SD, weight = cyl) , by = list(am) ]

laubblatt/phaselag documentation built on Sept. 30, 2020, 11:21 a.m.