pbinomGC: Graphical Calculator for Binomial Curve Probabilities

In tigerstats: R Functions for Elementary Statistics

Description

Shades desired areas under rectangles of probability histogram for binomial, returns numerical value of the area.

Usage

pbinomGC(bound,region="below",size=100,prob=0.5,graph=FALSE)

Arguments

bound	A numerical vector of length 1 or 2, range of shaded rectangles
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)
size	Number of trials
prob	Probability of success
graph	produce graph?

Value

Numerical value of probability.

Author(s)

Homer White [e-mail]

Examples

#This gives P(X <= 6) for binom X with 10 trials, chance of success 0.70 on each trial:
pbinomGC(6,region="below",size=10,prob=0.70)

#This gives P(45 <= X <= 55), where X is binom with 100 trials,
#chance of success on each trial p = 0.50:
pbinomGC(c(45,55),region="between",size=100,prob=0.50)

#This gives P(X >= 7) = P(X > 6), for binom X with 10 trials,
#70% chance of success on each trial
pbinomGC(6,region="above",size=10,prob=0.7)

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

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 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] 0.3503893
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tigerstats documentation built on July 2, 2020, 2:32 a.m.