| Type: | Package |
| Title: | Visualizing the Standard Deviation as the Size of a Prism |
| Version: | 0.1.1 |
| Maintainer: | Hieu Nguyen <hieunguyen04062003@gmail.com> |
| Description: | We visualize the standard deviation of a data set as the size of a prism whose volume equals the total volume of several prisms made from the Empirical Cumulative Distribution Function. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| NeedsCompilation: | no |
| Packaged: | 2022-09-20 12:23:28 UTC; PC |
| Author: | Hieu Nguyen [aut, cre], Tom Nguyen [aut], Mamunur Rashid [aut], Jyotirmoy Sarkar [aut] |
| Repository: | CRAN |
| Date/Publication: | 2022-09-21 08:20:02 UTC |
Visualizing the Standard Deviation as the Size of a Prism
Description
We visualize the standard deviation of a data set as the size of a prism whose volume equals the total volume of several prisms made from the Empirical Cumulative Distribution Function.
Usage
sdprism2d(data, hlim = NULL, xyscale = NULL)
Arguments
data |
The data that a user inputs, usually a vector of values. |
hlim |
Optional, 4 by default. The height limit for the plot of step 2, step3, and step 4. |
xyscale |
Optional, 4 by default. The ratio of scales between the x-axis and the y-axis. |
Value
No return value, the function will open a new window and display the graphs of the 4 steps of visualizing the standard deviation.
Examples
sdprism2d(c(10,18,23,30,36),4,4)