getCurrentStockData: Get data in shiny module

Description

Get data in shiny module

Usage

getCurrentStockData(
  data,
  col_date,
  col_series,
  zoom = NULL,
  maxPoints = 1000,
  tz = "UTC",
  ts = c("5 min", "10 min", "30 min", "hour", "3 hour", "12 hour", "day", "week",
    "month", "year"),
  fun_aggr = "mean",
  treat_missing = FALSE,
  maxgap = Inf,
  type_aggr = "first",
  na.rm = TRUE
)

Arguments

data

: data.frame to transform

col_date

: Date column name, default to "date". Must be "POSIXct" or "CET24" colum

col_series

: Column name of quantitative variable(s) to be transformed. Default to setdiff(colnames(data), "date")

zoom

: List for init subset. NULL to keep all

maxPoints

: Maximal number of rows in results

tz

: Timezone of result. Defaut to "UTC".

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

fun_aggr

: Aggregation function to use ("min", "max", "sum", "mean", "first", "last", "minabs", "maxabs"). Default to "mean".

treat_missing

: Boolean. Default to FALSE Whether or not to interpolate missing values ? see na.approx

maxgap

: When interpolate missing values with na.approx. Maximum number of consecutive NAs to fill. Defaut to Inf.

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

na.rm

: aggregation only. a logical value indicating whether NA values should be stripped before the computation proceeds.