Learn everything you need to know about the R programming language and discover why it is the most widely used language in data science.
It is becoming important for today’s finance professionals to have the basic programming skills as more and more of their work involves building statistical and financial models. One such programming language is r which is fast becoming a programming language of choice for statistical analysis. What...
Statistics for linguistics with R: A practical introduction (review) These books share a promotion of R, a multiplatform, open-source software package that functions as a programming language, a statistical environment, a graphics package, and a superb all-around tool for data processing, storage...
Programming language R contains multiple packages for time series analysis: 'hydroTSM' package is adapted to the time series used in Hydrology, package 'TSA' is used for general interpolation and statistical analysis, while the 'forecast' package includes exponential smoothing, all having outstanding ...
Procedural programming includes procedures, records, modules, and procedure calls while object-oriented programming language includes classes, objects, and functions. Is R is a slow language? R programs can be slow, however, well-written R code/programs are usually fast enough. ...
The R-statistical programming language will be utilized for computation. Further, one can utilize bbmle, BMT and HDInterval packages to calculate MLEs, s and HPD intervals, respectively, in R-language. Simulation Study The Monte Carlo simulation is executed using a variety of suggested estimation...
Building predictive models, or carrying out data science research, depends on formulating a hypothesis and drawing conclusions using statistical tests. In this guide, you will learn about how to perform these tests using the statistical programming language, 'R'. ...
RPresto’s handling ofBIGINT(i.e. 64-bit integers) is similar to other DBI packages (e.g.bigrquery,RPostgres). We provide abigintargument that users can use in multiple interfaces to specify how they wantBIGINTtyped data to be translated into R. ...
This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with...
R - Statistics By: Rajesh P.S."Statistical Analysis in R" refers to the application of statistical methods, tools, and techniques using the R programming language for data analysis. This approach allows data scientists, analysts, and researchers to explore, model, and draw insights from data. ...