pnormGC: Graphical Calculator for Normal Curve Probabilities

In tigerstats: R Functions for Elementary Statistics

Description

Shades desired areas under a specified normal curve, returns numerical value of the area.

Usage

pnormGC(bound,region="below",mean=0,sd=1,graph=FALSE)

Arguments

bound	A numerical vector of length 1 or 2, indicating the boundary (respectively, boundaries) of shaded region on the bhorizontal axis
region	A character string. Default is "below". Possible values are "between" (when boundary consists of two numbers), "below", "above", and "outside" (again when boundary consists of two numbers)
mean	Mean of the distribution
sd	Standard deviation of the distribution
graph	Will produce graph of the probability

Value

Numerical value of area under curve over region.

Author(s)

Homer White [e-mail]

Examples

#This gives P(X < 75) for X normal with mean=70 and sd=4:
pnormGC(75,region="below",mean=70,sd=4)

#This gives P(X > 71) for X normal with mean=70 and sd=4:
pnormGC(71,region="above",mean=70,sd=4)

#This gives P(-1 < X < 1), for standard normal X:
pnormGC(c(-1,1),region="between")

#This gives P(X < 68 or X > 71), for X normal with mean =70 and sd=4:
pnormGC(c(68,71),region="outside",mean=70,sd=4)

Example output

Loading required package: abd
Loading required package: nlme
Loading required package: lattice
Loading required package: grid
Loading required package: mosaic
Loading required package: dplyr

Attaching package: 'dplyr'

The following object is masked from 'package:nlme':

    collapse

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: ggformula
Loading required package: ggplot2
Loading required package: ggstance

Attaching package: 'ggstance'

The following objects are masked from 'package:ggplot2':

    GeomErrorbarh, geom_errorbarh


New to ggformula?  Try the tutorials: 
	learnr::run_tutorial("introduction", package = "ggformula")
	learnr::run_tutorial("refining", package = "ggformula")
Loading required package: mosaicData
Loading required package: Matrix

The 'mosaic' package masks several functions from core packages in order to add 
additional features.  The original behavior of these functions should not be affected by this.

Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.

Attaching package: 'mosaic'

The following object is masked from 'package:Matrix':

    mean

The following object is masked from 'package:ggplot2':

    stat

The following objects are masked from 'package:dplyr':

    count, do, tally

The following objects are masked from 'package:stats':

    IQR, binom.test, cor, cor.test, cov, fivenum, median, prop.test,
    quantile, sd, t.test, var

The following objects are masked from 'package:base':

    max, mean, min, prod, range, sample, sum

Welcome to tigerstats!
To learn more about this package, consult its website:
	http://homerhanumat.github.io/tigerstats
[1] 0.8943502
[1] 0.4012937
[1] 0.6826895
[1] 0.7098312

tigerstats documentation built on July 2, 2020, 2:32 a.m.