Let's learn the types of data | Introduction to Rstats (statistical analysis/scientific calculation)
Remember the data types available in Rstats. The type of Rstats is the same as the type of R language.
NULL - Nothing
Use NULL to indicate that there is nothing. It can be used to initialize an array or remove attributes such as the names attribute.
NULL
Missing value NA
Missing values are represented by NA . NA stands for data loss.
NA
Non - number - NaN, Inf (immovable decimal point operation only)
NaN, although named NA, is completely different. It means that it cannot be expressed as a number in the calculation of NaN immovable decimal point.
NaN
For example, the result of the operation "0/0" cannot be expressed as a number, so it becomes "NaN".
Also, if the floating point operation can be expressed as infinity, "Inf" is returned.
=====
Inf
For example, the result of the operation "1/0" is "Inf".
String
To create a string, specify the Perl string as an argument to the "c_" function.
c_ ("abc");
Numerical value
To create a number, specify the Perl number as an argument to the "c_" function.
c_ (34.4);
Complex numbers
Use i_ to represent complex numbers. For example, to express the complex number "1 + 2i", use the " i_ " function as follows.
1 + 2 * i_
Please note that the number "1" and the complex number "1 + 0 * i_" are different.
Logical value
The logical ground is expressed by " TRUE " and " FALSE ".
# True TRUE # Fake FALSE
You can also use T_ and F_ as abbreviations.
# True T_ # Fake F_
Date (not implemented)
There is a date type, but it is not currently implemented.
Introduction to Rstats (statistical analysis/scientific calculation)