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R Programming Assignment Help

R is a programming language used for statistical computation and data analysis. It is (R Programming Language) an implementation of S language. The R Programming language, commonly called as just ‘R’, is an open source programming language. It is supported by the R Foundation for Statistical Computing that creates software environment for statistical computing and graphics. The R language is widely used among data miners and statisticians for the development of data analysis and statistical software. Polls, studies of scholarly literature databases and surveys of data miners often show that the popularity of R has increased substantially in last decades.

Assignment Helped step-by-step approach helps students to comprehend the solution themselves. Students may also avail the advantage of internet chat with our support team and even our R programming assignment help experts. Most students don’t know how to import the data from several sources. Even the best students are searching for some university homework help online sometimes. Many students will need to complete them at various phases of their studying. Any student who’s pursuing a course in statistics and within the program, they are expected to use this program in the analysis and tabulation of information, must understand how to utilize it.

For students who wants to get an assignment done, deadline is knocking. Assignment Helped make sure that we provide you with the final draft of assignment much before that deadline so there is time to re-work on the same and perfect it in the manner that you want it. We guarantee you 100% plagiarism free and original content for all the R Programming assignment help that you avail from us. We provide services all over the globe, so no matter where you are and you will always get R Programming assignment help with our 24x7 customer support.

List of Sub-Topics for R Programming Assignment Help:

  • Simple Linear Regression
  • Multiple regression
  • Logistic Regression
  • Multivariate analysis
  • Correlation analysis
  • Parametric tests
  • Non-parametric tests
  • ANOVA
  • Design of Experiments
  • Null Hypothesis
  • Alternate Hypothesis
  • Chi-square test
  • Probability Theory
  • Hypothesis Tests and confidence intervals
  • Sampling
  • Box plot
  • Bootstrapping
  • Scatter plot
  • Central Limit Theorem
  • Monte carlo simulation
  • Statistical Inference
  • Biostatistics
  • Markov chains analysis
  • Statistical process control
  • Distribution Theory
  • Econometrics
  • Stochastic process
  • Time series

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