inomaly: an automation for filling blank data

Solution for big data

inomaly is an R package which contains:

R function for anomaly detection, filling in loss values of a variable from one data frame with the values from another variable, checking outliers then replacing them with other value or mean vector.

Installation

install.packages("devtools")
devtools::install_github("irwannafly13/inomaly")

Example

FillIn is function for filling missing values, outliersZ is function for checking outlier.

Create data set with missing values as follow.

naDF <- data.frame(a = sample(c(1,2), 100, rep=TRUE), 
                   b = sample(c(3,4), 100, rep=TRUE), 
                 fNA = sample(c(100, 200, 300, 400, NA), 100, rep=TRUE))

Create full dataset

fillDF <- data.frame(a = c(1,2,1,2), 
                     b = c(3,3,4,4),
                 fFull = c(100, 200, 300, 400))

Fill in missing f's from naDF with values from fillDF

FilledInData <- FillIn(naDF, fillDF, Var1 = "fNA", Var2 = "fFull", KeyVar = c("a", "b"))

df$column1<-outliersZ(df$column1, zCutOff = 1.96, replace = NA, values = FALSE, digits = 4)