There are five basic atomic variables in R Programming.
Below are syntax and observation notes for the core atomic variables in R Programming. Detailed documentation exists at https://cran.r-project.org/.
To declare an integer, the syntax is:
x <- 2L
The explicit typecasting is required because R defaults to the
double data type.
The data type of a variable can be verified by using the
As noted above, the default type for number values is
double. That is the case whether or not there is a decimal place. Note that Python’s default is single precision
float when numbers contain a fractional component.
y <- 2.5
R has a complex variable type by default too (i.e. Real number)
compl <- 3 + 2i
I’ve never used complex numbers in computations (haven’t thought about them since college). Perhaps I’ll have an opportunity as I explore R Programming further and continue my project work in Bio Tech.
This one is interesting:
- Everything in JavaScipt is a
string, whether you use single or double quotes..
- In C, C++, and C#…the use of double quotes represents
stringand single quotes is
- In Python, everything is a string whether you use single or double quotes.
R, however, defaults everything to
character whether it has single or double quotes.
a <- ‘string’
#also a character type
strv = “string”
This is also the first programming language I’ve seen “boolean’ referred to as “logical”. Also, the assignment can either be
I’m curious to see what I’ll learn further down the road about how R handles falsey/truthy and nullish logic.
q <- TRUE
j <- F
R Studio Global Environment Watch Window
Something interesting is the default prominence of the watch window in R Studio:
The environment watch window is not visible by default in Visual Studio Code, Eclipse, and other IDEs at runtime. It becomes part of the default experience during debug time, but at runtime, one must set the IDE preferences to make it visible. In R Studio, it’s visible as part of the default layout.
Categories: R Programming
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