In msears8/PROJ1.STATS: Introductory Package

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(PROJ1.STATS)

marbles

This function returns a sample size 'n' of black and white marbles drawn without replacement.

PROJ1.STATS::marbles(4, 6, 10)

myboot2

This function takes a list of sample values and creates a histogram from the object parameters, as well as a confidence interval.

PROJ1.STATS::myboot2(10000,x=c(1,2,3,4,5),fun="mean",alpha=0.05,xlab="mean",col="Purple",cx=1.5)

myci

This function returns the confidence interval of dataset x.

PROJ1.STATS::myci(rnorm(30,mean=10,sd=12))

myclt

This program returns a histogram created from a vector (sm), which contains the sum of each column that is comprised of random deviates from the from the uniform distribution on the interval from min (a) to max (b).

PROJ1.STATS::myclt(20, iter=10000)

myf

This function raises the input 'x' to the power of 2.

PROJ1.STATS::myf(27)

mymaxlik

This function produces a plot of the maximum liklihood probability p for the number of successes y in the amount of trials.

PROJ1.STATS::mymaxlik(x=c(3, 3, 4, 3, 4, 5, 5, 4),param=seq(0,1,length=20),lfun=function(x, param)dbinom(x,prob=param,size=10),xlab=expression("p"),main="Binomial",cex.main=2)

myncurve

This function produces a normal curve with the input parameters, the shaded area representing probability, and the probability value.

PROJ1.STATS::myncurve(2, 0, 1)

s2value

This function returns the $s^2$ value of a dataset, particularly of the z values. It is demonstrated with the 'fire' data.

ob = PROJ1.STATS::fire
obj=ob$DAMAGE
z=(obj-mean(obj))/sd(obj)
PROJ1.STATS::s2value(z)

msears8/PROJ1.STATS documentation built on Nov. 23, 2020, 11:29 p.m.