LSX (version 1.5.1)

smooth_lss: Smooth predicted polarity scores

Description

Smooth predicted polarity scores by local polynomial regression.

Usage

smooth_lss(
  x,
  lss_var = "fit",
  date_var = "date",
  span = 0.1,
  groups = NULL,
  from = NULL,
  to = NULL,
  by = "day",
  engine = c("loess", "locfit"),
  ...
)

Arguments

x

a data.frame containing polarity scores and dates.

lss_var

the name of the column in x for polarity scores.

date_var

the name of the column in x for dates.

span

the level of smoothing.

groups

specify the columns in x to smooth separately by the group; the columns must be factor, character or logical.

from, to, by

the the range and the internal of the smoothed scores; passed to seq.Date.

engine

specifies the function to be used for smoothing.

...

additional arguments passed to the smoothing function.

Details

Smoothing is performed using stats::loess() or locfit::locfit(). When the x has more than 10000 rows, it is usually better to choose the latter by setting engine = "locfit". In this case, span is passed to locfit::lp(nn = span).