Distribution of NAs in Timeseries (impute TS) Work good with very large Data 03-15-2017 07:29 AM

[Rob-van-Breemen]

library("zoo")
library("imputeTS")
library(tseries)

mydata =dataset[ ,1] #Values

#mydata<-na.approx(mydata)  #For Testing: should be all Green if NAs are interlpolated
mydataseries<-ts(mydata) #Values,Dates

plotNA.distributionBar(mydata, breaks = nclass.Sturges(mydata), breaksize = NULL,
percentage = TRUE, legend = TRUE, axis = TRUE, space = 0,
col = c("indianred2", "green2"), main = "Distribution of NAs",
xlab = "Time Lapse", ylab = NULL)

[Anonymous]

@Rob-van-Breemen I am unable to use the 'imputeTS' package in the Power BI service. It works perfectly fine on the Power BI desktop app but it seems that it is not supported in service. I think this package fulfills the criteria for support in service which is that the package should be published in CRAN and it has a GPL-3 licence as well.

Were you able to make this work in Power BI service?

Script Runtime Error

Error in library("imputeTS") : there is no package called 'imputeTS'