The Ultimate Beginner's Guide to R and RStudio
r print("Hello, world!")
r x R also has a variety of operators for performing arithmetic, logical, and comparison operations. The following table provides a summary of the most common operators:
| Operator | Description | |---|---| | +> | Addition | | -> | Subtraction | | *> | Multiplication | | /> | Division | | %> | Modulus | | ==> | Equal to | | !=> | Not equal to | | >> | Greater than | | /> | Less than | | >=> | Greater than or equal to | | > | Less than or equal to |
4.8 out of 5
Language | : | English |
File size | : | 6844 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 352 pages |
| Statement | Description | |---|---| | if> | Conditional statement | | else> | Else statement | | for> | For loop | | while> | While loop | | break> | Break statement | | continue> | Continue statement |
| Pane | Description | |---|---| | Console | The console pane is where you enter R commands and view the results. | | Editor | The editor pane is where you write and edit R scripts. | | Viewer | The viewer pane displays the output of your R commands, including plots, tables, and text. | | Files | The files pane displays a list of the files and folders in your current working directory. |
| Feature | Description | |---|---| | Autocomplete | Autocomplete provides suggestions for R functions and variables as you type. | | Syntax highlighting | Syntax highlighting makes it easy to identify different elements of your R code, such as keywords, functions, and variables. | | Error checking | RStudio checks your R code for errors as you type it. | | Debugging | RStudio provides a range of tools for debugging R code, including breakpoints and step-by-step execution. |
Data Cleaning
| Function | Description | |---|---| | is.na()> | Checks for missing values | | na.omit()> | Removes missing values | | unique()> | Removes duplicate values | | subset()> | Selects a subset of rows and columns from a data frame |
Data Exploration
| Function | Description | |---|---| | str()> | Displays the structure of a data frame | | summary()> | Displays summary statistics for a data frame | | plot()> | Creates a plot of a data frame |
Data Visualization
| Function | Description | |---|---| | plot()> | Creates a plot of a data frame | | ggplot()> | Creates aggplot2 plot | | lattice()> | Creates a lattice plot |
Data Modeling
| Function | Description | |---|---| | lm()> | Fits a linear regression model | | glm()> | Fits a generalized linear model | | randomForest()> | Fits a random forest model |
4.8 out of 5
Language | : | English |
File size | : | 6844 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 352 pages |
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4.8 out of 5
Language | : | English |
File size | : | 6844 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 352 pages |