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What is R manual?
The R Manuals
The manuals change with R, hence we provide versions for the most recent released R version (R-release), a very current version for the patched release version (R-patched) and finally a version for the forthcoming R version that is still in development (R-devel).
How do I program an R package?
- Step 0: Packages you will need. …
- Step 1: Create your package directory. …
- Step 2: Add functions.
- Step 3: Add documentation.
- Step 4: Process your documentation.
- Step 5: Install!
- (Bonus) Step 6: Make the package a GitHub repo.
- Step 7-infinity: Iterate.
How to create an R package in 8 minutes
Images related to the topicHow to create an R package in 8 minutes
What are the basic packages in R?
- ggplot2. ggplot2 is based on the ‘Grammar of Graphics”, which is a popular data visualization library. …
- data. table. …
- dplyr. …
- tidyr. …
- Shiny. …
- plotly. …
- knitr. …
- mlr3.
How do I write R package documents?
To add documentation to an R package, you need to create a subdirectory “ man ” containing a set of files, one per function, in a special R Documentation format ( . Rd ). These will be the source for the documentation for each function; R processes them to create plain text, PDF, and HTML versions.
What r means in car?
What does the R mean on an Automatic Transmission? The “R” stands for REVERSE, or the gear selected to drive the vehicle backward. When you shift the gear lever from P to R, the automatic transmission’s reverse gear is engaged — which spins the drive shaft backward, allowing the drive wheels to spin in ‘reverse’.
Whats the difference between stick and manual?
Manual transmissions and stick shift are the same thing
Officially speaking, these cars are called manuals because they have a manual transmission, while automatics have an automatic transmission. Unofficially speaking, many people, mostly in America, will refer to manuals as a stick shift or something close to that.
How do R packages work?
R packages are a collection of R functions, complied code and sample data. They are stored under a directory called “library” in the R environment. By default, R installs a set of packages during installation. More packages are added later, when they are needed for some specific purpose.
See some more details on the topic r package manual here:
CRAN: Manuals
The R Manuals ; R Data Import/Export describes the import and export facilities available either in R itself or via packages which are available from CRAN. HTML …
Chapter 10 Object documentation | R Packages
R provides a standard way of documenting the objects in a package: you write .Rd files in the man/ directory. These files use a custom syntax, loosely based on …
Writing R Package Documentation – RStudio Support
One of the core requirements for R packages is that all exported functions, objects, and datasets have complete documentation. RStudio includes …
The targets R Package User Manual – rOpenSci Books
The targets package is a Make-like pipeline tool for Statistics and data science in R. With targets , you can maintain a reproducible workflow without …
How do I create a local R package?
Open a new project in RStudio. Go to the ‘File’ menu and click on ‘New Project. ‘ Then select ‘New Directory,’ and ‘R Package’ to create a new R package.
How do you write a good code in R?
- Write good documentation: …
- Write readable code: …
- Do not repeat any code (DRY principle): …
- Do not write too long code. …
- Do not write R-Code that takes too long. …
- Remove commented code unless you are sure you want to use it later. …
- Write some tests (if necessary) to check your data:
What are the different R packages?
- 1) tidyr. The word tidyr comes from the word tidy, which means clear. …
- 2) ggplot2. R allows us to create graphics declaratively. …
- 3) ggraph. R provides an extension of ggplot known as ggraph. …
- 4) dplyr. R allows us to perform data wrangling and data analysis. …
- 5) tidyquant. …
- 6) dygraphs. …
- 7) leaflet. …
- 8) ggmap.
What are the best packages in R?
- R for Data Science. …
- ggplot2 for Data Visualization. …
- dplyr and dbplyr for Data Wrangling. …
- mlr3 and caret for Machine Learning. …
- knitr for Generating Reports. …
- tidyverse for General Data Science Tasks. …
- Keep Learning.
How many packages are there in R?
R is distributed with fourteen “base packages”: base, compiler, datasets, grDevices, graphics, grid, methods, parallel, splines, stats, stats4, tcltk, tools, and utils.
R Programming Tutorial – Learn the Basics of Statistical Computing
Images related to the topicR Programming Tutorial – Learn the Basics of Statistical Computing
Do R packages contain documentation?
In R, the fundamental unit of shareable code is the package. A package bundles together code, data, documentation, and tests, and is easy to share with others.
What is R CMD check?
R CMD check automatically checks your code for common problems. It’s essential if you’re planning on submitting to CRAN, but it’s useful even if you’re not because it automatically detects many common problems that you’d otherwise discover the hard way.
How do I export data from R?
- write. table() : The R base function write. table() can be used to export a data frame or a matrix to a text file. Syntax: …
- write_tsv() : This method is also used for to export data to a tab separated (“\t”) values by using the help of readr package. Syntax: write_tsv(file, path) Parameters:
How long do R plates stay up?
After passing the driving test for a motor car or a motorcycle, you must display amber R plates for a period of one year from the date of passing the test. The plates must conform to legal specifications and must be clearly visible to others from in front of the vehicle and from behind.
How fast can you drive in low gear?
Generally, however, the speed limit for the lowest gear (first gear) is 0 – 15mph. For second gear, the best you can do to avoid hurting your car is to drive at 25mph (max).
Does low gear help in snow?
Ice and Snow: Shifting to low gear is also helpful when you need to drive slowly on icy, snowy, or slippery roads. The extra torque and lower speed will help you to keep the vehicle under control.
Is automatic or manual better?
| Factors | Manual Car | Automatic Car |
|---|---|---|
| Mileage | Higher | Slightly Lower |
| Maintenance Cost | Moderate | Marginally Higher |
| Acceleration | Superior Performance | Great in Stop and Go Traffic |
| Number of Gears | Five to Six + 1 Reverse | Six to Eight |
Is manual hard to learn?
You might think driving a car with a manual transmission, also known as a stick shift, is difficult. Really, it’s not, despite the nervousness and fear it inspires in learning drivers (and even experienced drivers who have never had to learn).
Why is manual faster than automatic?
With a manual transmission, when you want to accelerate, you choose to downshift if you feel it’s needed and there’s a direct correlation between engine rpm and tire speed. Shifting your own gears gives such a more powerful, visceral, personal connection to your vehicle compared to an automatic.
What is the difference between library and package in R?
In R, a package is a collection of R functions, data and compiled code. The location where the packages are stored is called the library. If there is a particular functionality that you require, you can download the package from the appropriate site and it will be stored in your library.
Learning to use the patchwork R package (how to learn a package in general) (CC099)
Images related to the topicLearning to use the patchwork R package (how to learn a package in general) (CC099)
Are packages and libraries the same thing?
A library is a set of modules which makes sense to be together and that can be used in a program or another library. A package is a unit of distribution that can contain a library or an executable or both.
What does %>% mean in dplyr?
%>% is called the forward pipe operator in R. It provides a mechanism for chaining commands with a new forward-pipe operator, %>%. This operator will forward a value, or the result of an expression, into the next function call/expression. It is defined by the package magrittr (CRAN) and is heavily used by dplyr (CRAN).
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