{"id":4058,"date":"2017-09-07T04:49:34","date_gmt":"2017-09-07T04:49:34","guid":{"rendered":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/r-studio-assignment\/"},"modified":"2017-09-07T04:49:34","modified_gmt":"2017-09-07T04:49:34","slug":"r-studio-assignment","status":"publish","type":"post","link":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/r-studio-assignment\/","title":{"rendered":"R studio Assignment"},"content":{"rendered":"<p>\u00a0Objective: Utilize Na\u00efve Bayes to predict the flight delay. Given the FlightDelay.csv file, use Na\u00efve Bayesian Analysis model to determine whether the various flights experience delay or arrive at their destination on time. We start by clicking the \u201cinstall\u201d on your R plot window (as shown below) to type and install the following packages: naivebayes, dplyr, ggplot2, and psych; one at a time. After the installation of all the packages, load them into the memory through these commands: &gt; library (naivebayes) &gt; library (dplyr) &gt; install.packages(ggplot2) &gt; library (psych) Next, we load the .csv file and check the statistical properties of the csv file as follow: &gt; setwd(&#8220;C:\/RData\u201d) # your working directory &gt; tumor &lt;- read.csv(&#8220;FlightDelay.csv&#8221;) # loading the file &gt; str(FlightDelay) # check the properties of the file . . . continue from here! Important Note: \u2022 You need to split your data into test-data (tdata) and validated-data (vdata). \u2022 Use tdata to build Na\u00efve Bayes\u2019 model and use vdata to predict your model. \u2022 The dependent variable (y) of the model is delay. \u2022 The independent variables are dest, origin, carrier, deptime, weather, &amp; dayweek. \u2022 Show your conclusion. Mandatory video on Na\u00efve Bayer classification using R programming: https:\/\/www.youtube.com\/watch?v=RLjSQdcg8AM\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0Objective: Utilize Na\u00efve Bayes to predict the flight delay. Given the FlightDelay.csv file, use Na\u00efve Bayesian Analysis model to determine whether the various flights experience delay or arrive [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"pagelayer_contact_templates":[],"_pagelayer_content":"","footnotes":""},"categories":[1841],"tags":[1839,1838,1837,1141],"class_list":["post-4058","post","type-post","status-publish","format-standard","hentry","category-psy-papers","tag-psychology-research-papers","tag-psychology-dissertations","tag-psychology-assignment","tag-psychology-essays"],"_links":{"self":[{"href":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/wp-json\/wp\/v2\/posts\/4058","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/wp-json\/wp\/v2\/comments?post=4058"}],"version-history":[{"count":0,"href":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/wp-json\/wp\/v2\/posts\/4058\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/wp-json\/wp\/v2\/media?parent=4058"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/wp-json\/wp\/v2\/categories?post=4058"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.homeworkacetutors.com\/acemyhomework\/wp-json\/wp\/v2\/tags?post=4058"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}