fg_cut_to_events: Event Helpers: fg_cut_to_events

fg_cut_to_eventsR Documentation

Event Helpers: fg_cut_to_events

Description

Event Helpers: fg_cut_to_events

Usage

fg_cut_to_events(
  indta,
  ncutsperside = 4,
  center = 0,
  extend = TRUE,
  invert = FALSE
)

Arguments

indta

Time series data.table with a date as the first column and a value series as the second column.

ncutsperside

: Integer with number of colors to use on each side of 'center'

center

: String or Double as follows:

  • Double (default 0) Normalize data by subtracting center

  • "median" Normalize data by subtracting median of all observations.

  • "zscore" Normalize data by using standard scale() function

extend

Logical (Default: TRUE) to extend data to today (Sys.Date()) data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABIAAAASCAYAAABWzo5XAAAAbElEQVR4Xs2RQQrAMAgEfZgf7W9LAguybljJpR3wEse5JOL3ZObDb4x1loDhHbBOFU6i2Ddnw2KNiXcdAXygJlwE8OFVBHDgKrLgSInN4WMe9iXiqIVsTMjH7z/GhNTEibOxQswcYIWYOR/zAjBJfiXh3jZ6AAAAAElFTkSuQmCC

invert

Use opposite color schemes for data, i.e. "red" for good outcomes

Details

Always uses first date column and first numeric columns in data. If indta has multiple series, filter them before calling the function.

Value

data.table suitable for passing into fgts_dygraph() via the event_ds parameter

Examples

smalldta <- narrowbydtstr(eqtypx[,.(date,IBM,QQQ)],"-2y::")
events <- fg_cut_to_events(consumer_sent,center="zscore")
fgts_dygraph(smalldta,title="With Sentiment ranges",event_ds=events)

FinanceGraphs documentation built on June 22, 2026, 5:08 p.m.