visualize_data: Training and Test data Visualization for predictive...

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

Description

The function for plotting of ggplot objects. For more details about the graphical parameter arguments, use ?visualize_data

Usage

visualize_data(df, id_engine, cols = NULL, type = "l", n_step = 20)

Arguments

df	dataframe containing multiple multivariate time series formatted using the specific Table Schema, use showDF() to display schema specification details.
id_engine	id for the input data to be shown.
cols	for the variable names of the input data to be shown.
type	what type of plot should be drawn. Possible types are: l: for line graphs p: for point graphs (scatter plots) b: for both line and point graphs bp: for box plots h: for histogram hf: for histograms of the healthy vs failing sensor Values

Value

a ggplot object containing the subgraphs of each variable from the input data.

Author(s)

Cuong Sai and Maxim Shcherbakov.

See Also

showDF, validate_data,summarize_data

Examples

visualize_data(train_data, id_engine = 1:10, type = "l")
visualize_data(train_data, id_engine = 1:10, cols = c("s1", "s2", "S8", "c2"), type = "p")
visualize_data(train_data, id_engine = 1:20, type = "bp")
visualize_data(train_data, id_engine = 1:100, type = "h")
visualize_data(train_data, id_engine = 1:100, type = "hp", n_step = 30)

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