Plot Time Series, Separate OR Combined
Time series analysis is a crucial component of forecasting, especially when dealing with data that is collected sequentially over time. A time series is a set of observations or data points ordered chronologically. These data points could represent measurements, counts, values, or other observations taken at regular intervals.
This function creates time series plot in combined or separately. When combined multiple variables are plotted together, when separate each variable is plotted independently.
To analyse it in BioStat Prime user must follow the steps as given.
- Steps
Load the dataset -> Click on the Forecasting tab in main menu -> Select Plot Time Series -> Choose variables to plot -> Write Time of first observation -> Write Number of observations per unit of time -> Execute.
Arguments
- vars
selected variables to plot
- start
Time of first observation should be entered in the format year,month or year,quarter e.g.( if your data is organized in months the 1992,1 for Jan 1992 or if your data is organized in quarters then 1992,1 refers to the first quarter of 1992.
- frequency
Number of observations in unit time. Example: for monthly there are 12 observation in a year. For quarterly there are 4 observation in a year.
- plot.type
"multiple" for separate and "single" for combined plot.
- naturalLogYaxis
if TRUE an Y axis is shown as natural log value.
- main
main title of the plot
- ylab
title for the y axis
- dataset
the name of the dataset from which the vars has been picked.