Fast Graphs of Statistical Distributions Using R
Archives of Current Research International · pp. 1–9 · Published 13 Oct 2016
10.9734/ACRI/2016/29429Abstract
When teaching elementary statistics courses, instructors may find themselves frequently drawing by hand the probability density functions of normal and t distributions. The author presents the R-package fastGraph, containing new functions in R, allowing graphs of probability density functions and cumulative distribution functions to be drawn on the computer with few keystrokes. These functions also allow shading under the curve of the probability density function to illustrate concepts such as p-values and critical values. An additional function which fits the line for simple linear regression is also introduced.
Cited by 0
No indexed citations yet.
Related research
- Fetal Outcome Evaluation in High-risk Term Pregnancy Using Biophysical Profile at a Tertiary Hospital in Anambra State, Nigeria — shares topic coverage
- An Opinion Regarding Equivalence Testing for Evaluating Measurement Agreement — shares topic coverage
- Variance and Time Series Analysis of Democracy Index — shares topic coverage
- Calisthenics Training and Physical Fitness in Martial Arts: A Critical Narrative Review of Adaptation, Transfer and Programming — shares topic coverage
- Power Generation and Its Impacts on the Environment — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.