{"id":7888,"date":"2018-06-01T19:00:13","date_gmt":"2018-06-01T13:30:13","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=7888"},"modified":"2021-06-25T12:27:56","modified_gmt":"2021-06-25T06:57:56","slug":"r-cheat-sheet","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/r-cheat-sheet\/","title":{"rendered":"R Cheat Sheet"},"content":{"rendered":"<p><a href=\"https:\/\/ivyproschool.com\/blog\/r-cheat-sheet\/\"><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7889\" src=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/Base-R-Cheat-Sheet.png\" alt=\"\" width=\"600\" height=\"503\" srcset=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/Base-R-Cheat-Sheet.png 940w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/Base-R-Cheat-Sheet-300x251.png 300w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/Base-R-Cheat-Sheet-768x644.png 768w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<p>Have an interview tomorrow? Facing last moment preparation issues? Well, we bring to you this Base R Cheat Sheet to ace up your chances of getting employed.<\/p>\n<p>As Data Exploration and Data Manipulation takes most of the time, chances of being questioned as to how shall you deal with an unstructured data and manipulate them are high.<\/p>\n<p style=\"text-align: left;\"><span style=\"text-decoration: underline;\"><em><strong>Getting Started with Libraries<\/strong><\/em><\/span><\/p>\n<p><strong><em>install.packages(\u201cdplyr\u201d) <\/em><\/strong><\/p>\n<p>Allows download and install packages from the CRAN repository.<\/p>\n<p><strong><em>library(dplyr) :<\/em><\/strong><\/p>\n<p>Loads the package in the session in order to allow the use of the functions.<\/p>\n<p><span style=\"text-decoration: underline;\"><em><strong>Working Directory<\/strong><\/em><\/span><\/p>\n<p><strong><em>getwd()<\/em><\/strong><\/p>\n<p>To get the current location of the directory.<\/p>\n<p><strong><em>setwd(\u201cfile path\u201d)<\/em><\/strong><\/p>\n<p>To change the current working directory.<\/p>\n<p><span style=\"text-decoration: underline;\"><em><strong>Reading and Writing Data<\/strong><\/em><\/span><\/p>\n<p><strong><em>data &lt;- read.csv(\u201cfile.csv\u201d)<\/em><\/strong><\/p>\n<p>To read or import data as a CSV file.<\/p>\n<p><strong><em>write.csv(data, \u201cfile.csv\u201d) <\/em><\/strong><\/p>\n<p>To write or export data.<\/p>\n<p><span style=\"text-decoration: underline;\"><em><strong>Converting Data Types<\/strong><\/em><\/span><\/p>\n<p><strong><em>as.logical<\/em><\/strong><\/p>\n<p>To convert into the Boolean form<\/p>\n<p><strong><em>as.numeric<\/em><\/strong><\/p>\n<p>To convert to numeric<\/p>\n<p><strong><em>as.factor<\/em><\/strong><\/p>\n<p>To convert into factors<\/p>\n<p><span style=\"text-decoration: underline;\"><em><strong>Mathematical Functions<\/strong><\/em><\/span><\/p>\n<p><strong><em>log(x)<\/em><\/strong><\/p>\n<p>To calculate natural log.<\/p>\n<p><strong><em>exp(x)<\/em><\/strong><\/p>\n<p>To calculate exponential<\/p>\n<p><strong><em>round(x,n)<\/em><\/strong><\/p>\n<p>To round a number to n decimal places<\/p>\n<p><strong><em>corr(x,y)<\/em><\/strong><\/p>\n<p>To find a correlation between 2 variables<\/p>\n<p><span style=\"text-decoration: underline;\"><em><strong>Dealing with Data Frames<\/strong><\/em><\/span><\/p>\n<p><strong><em>df &lt;- data.frame(x = 6:10, y = c( \u2018 a\u2019, \u2018b\u2019, \u2018c\u2019)<\/em><\/strong><\/p>\n<p>Creating a data frame<\/p>\n<p><strong><em>df$x<\/em><\/strong><\/p>\n<p>Accessing a column of a data frame<\/p>\n<p><strong><em>view(df)<\/em><\/strong><\/p>\n<p>To look at the whole data set<\/p>\n<p><strong><em>dim(df)<\/em><\/strong><\/p>\n<p>number of rows and columns in a data frame<\/p>\n<p><strong><em>rbind<\/em><\/strong><\/p>\n<p>binding rows<\/p>\n<p><strong><em>cbind<\/em><\/strong><\/p>\n<p>binding columns<\/p>\n<p><em><span style=\"text-decoration: underline;\"><strong>Dealing with strings<\/strong><\/span><\/em><\/p>\n<p><strong><em>paste(x, y, sep =\u2019 \u2018)<\/em><\/strong><\/p>\n<p>To join multiple vectors together<\/p>\n<p><strong><em>grep(pattern, x)<\/em><\/strong><\/p>\n<p>To find regular expression matches in x<\/p>\n<p><strong><em>gsub(pattern, replace, x)<\/em><\/strong><\/p>\n<p>To replace matches in x with a string<\/p>\n<p><strong><em>toupper(x)<\/em><\/strong><\/p>\n<p>To convert a string to upper case<\/p>\n<p><strong><em>nchar(x)<\/em><\/strong><\/p>\n<p>To find the number of characters in the string<\/p>\n<p><em><span style=\"text-decoration: underline;\"><strong>Plotting data<\/strong><\/span><\/em><\/p>\n<p><strong><em>plot(x, y)<\/em><\/strong><\/p>\n<p>Bivariate plot<\/p>\n<p><strong><em>hist(x)<\/em><\/strong><\/p>\n<p>Plotting a histogram<\/p>\n<p><strong><em>barplot(x)<\/em><\/strong><\/p>\n<p>Plotting bar plots<\/p>\n<p><strong><em>pie(x)<\/em><\/strong><\/p>\n<p>Plotting a piechart<\/p>\n<p><strong><em>stripplot(x)<\/em><\/strong><\/p>\n<p>Plotting values of x on a line (an alternative to boxplot for small values)<\/p>\n<p><em><span style=\"text-decoration: underline;\"><strong>Statistics<\/strong><\/span><\/em><\/p>\n<p><strong><em>lm(formula, data=)<\/em><\/strong><\/p>\n<p>Fitting a linear regression model<\/p>\n<p><strong><em>glm(formula, data=, family=)<\/em><\/strong><\/p>\n<p>Fitting a generalized linear model<\/p>\n<p><strong><em>predict(fit)<\/em><\/strong><\/p>\n<p>To predict on the fitted model<\/p>\n<p><strong><em>fitted(fit)<\/em><\/strong><\/p>\n<p>To obtain fitted values<\/p>\n<p>Team Ivy<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Have an interview tomorrow? Facing last moment preparation issues? Well, we bring to you this Base R Cheat Sheet to ace up your chances of getting employed. As Data Exploration and Data Manipulation takes most of the time, chances of being questioned as to how shall you deal with an unstructured data and manipulate them are high. Getting Started with Libraries install.packages(\u201cdplyr\u201d) Allows download and install packages from the CRAN repository. library(dplyr) : Loads the package in the session in order to allow the use of the functions. Working Directory getwd() To get the current location of the directory. setwd(\u201cfile path\u201d) To change the current working directory. Reading and Writing Data data &lt;- read.csv(\u201cfile.csv\u201d) To read or import data as a CSV file. write.csv(data, \u201cfile.csv\u201d) To write or export data. Converting Data Types as.logical To convert into the Boolean form as.numeric To convert to numeric as.factor To convert into factors Mathematical Functions log(x) To calculate natural log. exp(x) To calculate exponential round(x,n) To round a number to n decimal places corr(x,y) To find a correlation between 2 variables Dealing with Data Frames df &lt;- data.frame(x = 6:10, y = c( \u2018 a\u2019, \u2018b\u2019, \u2018c\u2019) Creating a data frame df$x Accessing [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":7889,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[851,5,881,552],"tags":[56,76,230,467,504],"class_list":["post-7888","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-analytics","category-data-analytics","category-data-science","category-technology","tag-big-data-analytics","tag-business-analytics","tag-data-analytics","tag-data-science","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>R Cheat Sheet | Official Blog | Ivy Professional School<\/title>\n<meta name=\"description\" content=\"This blog talks about the R cheat sheet that will help candidates looking out for jobs in Analytics industry. 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