{"Package":"webr","Type":"Package","Title":"Data and Functions for Web-Based Analysis","Version":"0.1.5","Imports":"moonBook, ggplot2, shiny, stringr, sjlabelled, flextable,\nmagrittr, rrtable, dplyr, tibble, purrr, rlang, tidyr,\ntidyselect, psych, grid, ztable, ggforce, scales, vcd","Authors@R":"c(person(\"Keon-Woong\", \"Moon\", role = c(\"aut\", \"cre\"),\nemail = \"cardiomoon@gmail.com\"),\nperson(\"Tommaso\",\"Martino\",role=c(\"ctb\"),\nemail=\"todoslogos@gmail.com\"))","URL":"https://github.com/cardiomoon/webr","BugReports":"https://github.com/cardiomoon/webr/issues","Description":"Several analysis-related functions for the book entitled\n\"Web-based Analysis without R in Your Computer\"(written in Korean, ISBN 978-89-5566-185-9)\nby Keon-Woong Moon. The main function plot.htest() shows the distribution of statistic for\nthe object of class 'htest'.","Depends":"R (>= 2.10)","License":"GPL-3","Encoding":"UTF-8","LazyData":"true","RoxygenNote":"7.0.2","VignetteBuilder":"knitr","Suggests":"testthat, knitr, rmarkdown","NeedsCompilation":"no","Packaged":"2020-01-26 13:59:13 UTC; cardiomoon","Author":"Keon-Woong Moon [aut, cre],\nTommaso Martino [ctb]","Maintainer":"Keon-Woong Moon ","Repository":"CRAN","Date/Publication":"2020-01-26 14:20:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/webr_0.1.5.tar.gz","jsonAuthors":[{"name":"Keon-Woong Moon","email":"cardiomoon@gmail.com","maintainer":true},{"name":"Tommaso Martino","email":"todoslogos@gmail.com","maintainer":false}],"readme":"---\ntitle: \"Plot for distribution of statistic and p-value\"\nauthor: \"Keon-Woong Moon\"\ndate: \"2018-04-18\"\noutput: rmarkdown::html_vignette\nvignette: >\n %\\VignetteIndexEntry{plot.htest}\n %\\VignetteEngine{knitr::rmarkdown}\n %\\VignetteEncoding{UTF-8}\n---\n\nTo understand the concept of p value is very important. To teach the the distribution of common statistic( $\\chi^2$ for chisq.test() , t for Student's t-test , F for F-test) and concept of the p-value, plot.htest() function can be used.\n\n## Homepage of this package\n\nhttps://cardiomoon.github.io/webr/index.html\n\n\n## Package Installation\n\nYou can install this package form the github. Currently, package `webr` is under construction and consists of only one function - plot.htest(). \n\n\n```r\n#install.packages(\"devtools\")\ndevtools::install_github(\"cardiomoon/webr\")\n```\n\n## Coverage of plot.htest() \n\nThe plot.htest() function is a S3 method for class \"htest\". Currently, this function covers Welch Two Sample t-test, Pearson's Chi-squared test, Two Sample t-test, One Sample t-test, Paired t-test and F test to compare two variances.\n \n\n## For Chi-squared Test\n\nYou can show the distribution of chi-squre statistic and p-value. \n\n\n```r\n require(moonBook)\n require(webr)\n \n # chi-squared test\n x=chisq.test(table(acs$sex,acs$DM))\n x\n```\n\n```\n\n\tPearson's Chi-squared test with Yates' continuity correction\n\ndata: table(acs$sex, acs$DM)\nX-squared = 3.1296, df = 1, p-value = 0.07688\n```\n\n```r\n plot(x)\n```\n\n $\"plot$ \n\n## For one sample t-test\n\nYou can show the distribution of t-statistic and p-value in one sample t-test.\n\n\n```r\nt.test(acs$age,mu=63)\n```\n\n```\n\n\tOne Sample t-test\n\ndata: acs$age\nt = 0.77978, df = 856, p-value = 0.4357\nalternative hypothesis: true mean is not equal to 63\n95 percent confidence interval:\n 62.52736 64.09574\nsample estimates:\nmean of x \n 63.31155 \n```\n\n```r\nplot(t.test(acs$age,mu=63))\n```\n\n $\"plot$ \n \n## Student t-test to compare means for two independent samples\n\nBefore performing a t-test, you have to compare two variances.\n\n### F test to compare two variances\n\n\n\n```r\nx=var.test(age~DM,data=acs)\nx\n```\n\n```\n\n\tF test to compare two variances\n\ndata: age by DM\nF = 1.2383, num df = 552, denom df = 303, p-value = 0.0376\nalternative hypothesis: true ratio of variances is not equal to 1\n95 percent confidence interval:\n 1.012416 1.505776\nsample estimates:\nratio of variances \n 1.238288 \n```\n\n```r\nplot(x)\n```\n\n $\"plot$ \n\n### Use for Two Sample t-test for independence samples \n\nBased on the result of var.test(), you can perform t.test with default option(var.equal=FALSE).\n\n```r\nx=t.test(age~DM,data=acs)\nx\n```\n\n```\n\n\tWelch Two Sample t-test\n\ndata: age by DM\nt = 0.58982, df = 682.36, p-value = 0.5555\nalternative hypothesis: true difference in means is not equal to 0\n95 percent confidence interval:\n -1.112568 2.068014\nsample estimates:\n mean in group No mean in group Yes \n 63.48101 63.00329 \n```\n\n```r\nplot(x)\n```\n\n $\"plot$ \n\n## Student t-test using pooled variance\n\nTo compare means of body-mass index between male and female patients, perform F test first.\n \n\n```r\nvar.test(BMI~sex,data=acs)\n```\n\n```\n\n\tF test to compare two variances\n\ndata: BMI by sex\nF = 1.2078, num df = 254, denom df = 508, p-value = 0.07756\nalternative hypothesis: true ratio of variances is not equal to 1\n95 percent confidence interval:\n 0.9794315 1.5008098\nsample estimates:\nratio of variances \n 1.207759 \n```\n\n```r\nplot(var.test(BMI~sex,data=acs))\n```\n\n $\"plot$ \nBased on the result of F test, you can perform t-test using pooled variance.\n\n\n```r\nx=t.test(BMI~sex,data=acs,var.equal=TRUE)\nx\n```\n\n```\n\n\tTwo Sample t-test\n\ndata: BMI by sex\nt = -0.50823, df = 762, p-value = 0.6114\nalternative hypothesis: true difference in means is not equal to 0\n95 percent confidence interval:\n -0.6348532 0.3737344\nsample estimates:\nmean in group Female mean in group Male \n 24.19492 24.32548 \n```\n\n```r\nplot(x)\n```\n\n $\"plot$ \n\n\n## Paired t-test\n\nYou can show the distribution of t-statistic and p-value in paired t-test.\n\n\n```r\nx=t.test(iris$Sepal.Width,iris$Petal.Width,paired=TRUE)\nplot(x)\n```\n\n $\"plot$ \n \n\n## Options for t-test\n\nYou can change the options of t.test. \n\n\n```r\nx=t.test(BMI~sex, data=acs,conf.level=0.99,alternative=\"greater\",var.equal=TRUE)\nplot(x)\n```\n\n $\"plot$ \n \n## Vignette for PieDonut() function\n\n $\"plot$ \n\nhttp://rpubs.com/cardiomoon/398623","jobInfo":{"package":"webr","version":"0.1.5","parsingStatus":"success","parserVersion":1,"parsedAt":"2020-01-26T15:29:46+0000"}}

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