Art of Stat vs Learn R Programming

News: The Explore Data app is now part of the all new Art of Stat app, which contains this and seven other modules. Please consider getting the Art of Stat app for the latest updates and features: https://apps.apple.com/us/app/art-of-stat/id6755374228 ------ The Art of Stat: Explore Data app includes statistical methods for exploring categorical and quantitative data. Obtain summary statistics, contingency tables or correlation coefficients and easily generate bar- and pie charts, histograms, boxplots (including side-by-side boxplots), dotplots or interactive scatterplots that let you color dots by a third variable. Several example datasets are preloaded for you to explore (including instructions on the statistical analysis), but you can also enter your own data or import a CSV file from a cloud account. The following methods are implemented: - Analyzing One Categorical Variable - Comparing Groups on a Categorical Variable - Analyzing the Relationship Between Two Categorical Variables - Analyzing One Quantitative Variable - Comparing Groups on a Quantitative Variable - Analyzing the Relationship Between Two Quantitative Variables (Linear Regression) The app provides: - Frequency tables and bar and pie charts for exploring one categorical variable. - Contingency tables, conditional proportions and side-by-side or stacked bar charts for exploring a categorical variable across several groups or the association between two categorical variables. - Mean, standard deviation and the 5-number summary together with histograms, boxplots and dotplots to explore a quantitative variable. - Side-by-side boxplots, stacked histograms or density plots for comparing a quantitative variable across several groups. - Interactive scatterplots with regression lines to analyze the relationship between two quantitative variables. Correlation statistics and linear regression parameters and predictions. Plots of raw and studentized residuals. The app comes with several example datasets preloaded, which you can directly open in the app to explore the app's various features. You can also type in your own data or upload your own CSV file (which any spreadsheet program can create) and select variables from it. Finally the app includes a basic spreadsheet program called Data Editor to create and edit data. You can also copy & paste data from a spreadsheet app such as Google Sheets, Excel or Apple’s Numbers app. Several sample datasets are provided.

If you are searching for an application to learn R basic to advance without any programming knowledge. You are at right place. Whether you are an experienced programmer or not, this Application is intended for everyone who wishes to learn the R Programming language. There is no need to Internet anything - Just click on the INSTALL you wish to begin from, and follow the instructions. Good luck! Features: • Great user interface. • Dark mode • Topics divided into proper way. • All topics are offline: no needs internet • Content with easy examples. • Easy to Understand. • Good Numbers of Examples • Copy and Share Topic with your friends. • Online R Compiler: Run your R program within application. • R Interview Questions and Answers. Basic Tutorial: basic tutorial consists following topics. • R Introduction • Environment Setup • Data Types in R • Basic Syntax • R Operators • Loops in R • R Functions • R Strings • R Vectors • R Lists Data Interfaces, Charts and Graphs: Basic to Advance R topics likes, • CSV Files • Excel File • Binary Files • XML Files • JSON Files • Web Data • Databases • Pie, Bar Charts • Boxplots • Histograms • Line Graphs • Scatterplots Statistic Examples: No battle can win in the study and theory without practice is dead. In this topic we add 60+ practice programs with output and provide run, share and copy. • Mean, Median and Mode • Linear, Multiple, Logistic, Poisson Regression • Normal, Binomial Distribution • Analysis of Covariance, Random Forest, Survival Analysis, Chi Square Test R Interview Questions and Answers: R Interview Questions have been designed specially to get you acquainted with the nature of questions you may encounter during your interview for the subject of R Programming Language. Contact Us: universeassistant083@gmail.com If you choose to subscribe to any of the “Learn R Programming Premium” Subscriptions, the payment will be charged to your iTunes account at confirmation of purchase. any unused portion of the free trial period, if offered, will be forfeited when you purchase a subscription to that publication. From that moment and further, the subscription automatically renews until auto-renew is turned off at least 24 hours before the end of the current period. You may manage your subscription and turn off auto-renewal by going to your account settings after purchase. No cancellation of the current subscription is allowed during the active period. If you have any questions while using this app, please contact us via email at universeassistant083@gmail.com. Terms of Use - https://sites.google.com/view/javascript-terms-of-usecript/home