Thank you so much for implementing a such excellent library in R !
I noticed a default behavior of amStockMultiSet fonction : when dataset is based on daily basis, the time scale is preserved, however for hourly basis dataset the time scale is aggregated to a daily unit. Then the hourly basis is not preserved.
Thank you so much for implementing a such excellent library in R ! I noticed a default behavior of amStockMultiSet fonction : when dataset is based on daily basis, the time scale is preserved, however for hourly basis dataset the time scale is aggregated to a daily unit. Then the hourly basis is not preserved.
Do you have a trick to handle a such behavior ?
See just below a minimal example.
library(rAmCharts)
Minimal example 1 : hourly basis data frame
hour <- seq(from=as.POSIXct("2019-9-25 0:00", tz="GMT"), to=as.POSIXct("2019-9-26 0:00", tz="GMT"), by="hour")
df1 <- data.frame(date = hour, value1 = sample(1:100, size = length(hour), replace = TRUE))
df2 <- data.frame(date = hour, value1 = sample(1:200, size = length(hour), replace = TRUE))
data1 <- list("1" = df1, "2" = df2)
amStockMultiSet(data = data1)
Minimal example 2 : daily basis data frame
date <- seq(from=as.POSIXct("2019-9-1 0:00", tz="GMT"), to=as.POSIXct("2019-9-30 0:00", tz="GMT"), by="day")
df3 <- data.frame(date = date, value1 = sample(1:100, size = length(date), replace = TRUE))
df4 <- data.frame(date = date, value1 = sample(1:200, size = length(date), replace = TRUE))
data2 <- list("3" = df3, "4" = df4)
amStockMultiSet(data = data2)