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R is a programming language and free software environment used for statistical computing and graphics. Notably, it is widely popular in the field of data mining. In today’s word, R programming is of increasing significance in the tech industry.
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R's strength lies in its extensive collection of libraries, each designed for specific tasks in data science and statistical analysis.
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Robust regression | Function |
Bayesian statistics | Matrices |
Zero-truncated Poisson | Vectors and Lists |
Non-parametric statistics | Data Frames |
Exploratory Data Analysis | Factors |
Mapping | R packages |
T-test Statistics | Clustering |
R packages | Naive Bayes |
The Fundamentals of R |
Censored Data (Survival) analysis |
Object-Oriented Programming In R |
Simulation Studies and Monte Carlo Methods |
Statistical Programming With R |
Confidence intervals for various statistics |
Data Visualization and Exploration with R |
Mastering R programming can present several significant obstacles for students. Here are some common challenges:
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Yes, we also provide help with multiple topics that include research, programming, data analytics, etc. Some of those topics we help with are as follows:
Yes, we also provide help with multiple topics that include research, programming, data analytics, etc. Some of those topics we help with are as follows:
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