handle_misv: Handling Missing Values

In forvis/PdM: R package for predictive maintenance in industry 4.0 concept

Description

Imputation and Removing Data

Usage

handle_misv(df, method)

Arguments

df	the input dataframe containing multiple multivariate time series formatted using the specific Table Schema with missing values, use showDF() to display schema specification details.
method	the method for handling missing values. Possible methods are: omit: removes the rows containing any missing values mean: for point graphs (scatter plots) median: for both line and point graphs mod: for box plots h: for histogram hf: for histograms of the healthy vs failing sensor Values

Value

A new data frame without missing values

Author(s)

Cuong Sai and Maxim Shcherbakov.

Examples

## Not run: 
new_data <- handle_misv(data, method  = "omit")
new_data <- handle_misv(data, method  = "mean")
new_data <- handle_misv(data, method  = "median")

## End(Not run)

forvis/PdM documentation built on Dec. 5, 2020, 8:54 p.m.