Hire R Programmers On Board For Your Custom Needs

Base R refers to the standard package that comes pre-installed with R distribution. Tidyverse is a collection of R packages for data science. It provides a more elegant & efficient coding experience versus base R for tasks like data wrangling, visualization, & modeling.

Common packages to read data in R include readr (for CSV, TSV), readxl (for Excel), haven (for SPSS, STATA), foreign (for SAS & more). Functions like read.csv(), read_csv(), read_excel() from respective packages help import data from different file types into the R environment.

Popular plotting systems in R are base, ggplot2 & lattice. Key chart types include bar plots, histograms, box plots, scatter plots, line graphs, heatmaps etc. Packages like plotly & shiny can be used to create interactive visualizations.

Common algorithms are linear/logistic regression, decision trees, random forest, k-means clustering, PCA, neural networks. Packages like caret provide an interface to train & tune models. Other useful packages are ranger, keras, mlr, h2o, nnet and tensorflow.

rPython, reticulate & rJava packages help call Python & Java code from R. Similarly, RInside enables use of R from C/C++. This allows combining strengths of multiple languages for scientific computing and data science projects.

Typical services are custom software development, consulting, staff augmentation, maintenance & support, data science solutions, analytics product development, data cleanup & management using R.

Key stages include requirement gathering, architecture planning, prototype development, testing, security audits, deployment, training, documentation & support. Agile or Waterfall methods are adopted based on project needs.

Experienced R teams, fixed budget, no overhead costs, 24/7 support, expertise in multiple domains, adherence to quality & process standards, scalability, confidentiality are some key benefits.