wtfun: Get weights used during weighted regression

In fawda123/WtRegDO: Implement Weighted Regression on Dissolved Oxygen Time Series

Get weights used during weighted regression

Description

Get weights used during weighted regression for a single observation in the dissolved oxygen time series

Usage

wtfun(
  ref_in,
  dat_in,
  wt_vars = c("dec_time", "hour", "Tide"),
  wins = list(4, 12, NULL),
  all = FALSE,
  slice = TRUE,
  subs_only = FALSE
)

Arguments

ref_in	one row of the data frame of dat_in that is teh center of the window
dat_in	data frame for estimating weights
wt_vars	chr string indicating names of weighting variables
wins	numeric vecotr for windows for the three wt variables, values represent halves. A NULL value for Tide specifies the half-window width is set automatically to one half the tidal range.
all	logical to return all weights, rather than the product of all three
slice	logical for subsetting dat_in for faster wt selection
subs_only	logical for returning only wt vectors that are non-zero

Details

The default behavior is to subset the data frame for faster wt selection by limiting the input the maximum window size. Subsetted weights are recombined to equal a vector of length equal to the original data.

See Also

wtreg

fawda123/WtRegDO documentation built on March 18, 2024, 9:04 p.m.