getTransformTS: Transform quantitative variables.
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View source: R/shiny_modules_timeSeries.R

getTransformTS

R Documentation

Transform quantitative variables.

Description

Transform quantitative variables. Aggregate or interpolate time series data.

Usage

getTransformTS(
  data,
  col_date = "date",
  col_series = setdiff(colnames(data), c(col_date, col_by)),
  col_by = NULL,
  ts = "10 min",
  tz = "UTC",
  fun_aggr = "mean",
  treat_missing = FALSE,
  control_date = TRUE,
  maxgap = Inf,
  keep_last = TRUE,
  type_aggr = "first",
  showwarn = FALSE,
  na.rm = TRUE
)

Arguments

`data`	: data.frame to transform
`col_date`	: Date column name, default to "date". Must be "POSIXct"
`col_series`	: Column name of quantitative variable(s) to be transformed. Default to setdiff(colnames(data), "date")
`col_by`	: Column name of a optionnal grouping variable. Default to NULL
`ts`	: Increment of the sequence. Default to "10 min". Can be a number, in seconds, or a character string containing one of "min", "hour", "day". This can optionally be preceded by a positive integer and a space
`tz`	: Timezone of result. Defaut to "UTC".
`fun_aggr`	: Aggregation function to use ("min", "max", "sum", "mean", "first", "last", "maxabs", "minabs"). Default to "mean".
`treat_missing`	: Boolean. Default to FALSE Whether or not to interpolate missing values ? see `na.approx`
`control_date`	: Boolean. Control full data sequence ? Defaut to TRUE and set to TRUE if treat_missing
`maxgap`	: When interpolate missing values with `na.approx`. Maximum number of consecutive NAs to fill. Defaut to Inf.
`keep_last`	: Boolean. Keep last date/time value after interpolation ?
`type_aggr`	: Character. Type of aggregation "first" : Date/Time result is equal to minimum of sequence, and this minimum is included in aggregation "last" : Date/Time result is equal to maximum of sequence, and this maximum is included in aggregation
`showwarn`	: Boolean. Show warnings ?
`na.rm`	: aggregation only. a logical value indicating whether NA values should be stripped before the computation proceeds.