The numeric() method creates or coerces objects of type “numeric”. The is.numeric() is an inbuilt R function used for a more comprehensive test of an object being interpretable as numbers. Factors are data structures that categorize the data or represent categorical data and save it on multiple levels. They can be saved as integers with … Read more
In R, character vectors have two pieces of data: A sequence of bytes. An encoding in which those bytes should be interpreted. To encode a specific string in R, use the Encoding() function. This Encoding() function is different from encodeString(). Let’s see what is encodeString() and how we can use it. encodeString in R To encode … Read more
If you are creating a console or terminal-based application, you need to figure out how to read the input data from the user. Let’s see how to read user input data. Read User Input Data in R To read the user input in R, use the readline() function. The readline() function reads a line from … Read more
To ask questions programmatically in the R language, use the askYesNo() function. askYesNo in R The askYesNo() is a built-in R function that provides a standard way to ask the user a yes/no question. The askYesNo() method provides a way for front-ends to substitute their own dialogs. The askYesNo() function accepts the case-independent partial matches to … Read more
R cut() function allows you to cut data into bins and specify ‘cut labels’, so it is beneficial to create a factor from a continuous variable. cut() Function in R The cut() is a built-in R function that divides the range of x into intervals and codes the values in x according to which interval … Read more
To coerce a list, matrix to tibble in R, use the as_tibble() function. If you face could not find function “as_tibble” that means you need to install either tidyverse package or tibble package. It will resolve the issue. as_tibble() in R The as_tibble() is a new S3 generic function in R that coerce lists and matrices to data frames. … Read more
Data cleaning is one of the toughest tasks of a data scientist. To accurately analyze the data set, we often remove duplicates based on certain conditions like column values. In this tutorial, we will see how to remove duplicate data based on column values and the different ways to do it efficiently. How to Remove … Read more
The fromJSON() function reads the content in JSON format and de-serializes it into R objects. JSON content is produced of logical values, integers, real numbers, strings, arrays using the key: value pairs. The toJSON and fromJSON methods use class-based mapping. fromJSON in R The fromJSON() is a built-in R function that converts a JSON object … Read more
A binary file is a type of computer file that is not a text file. The binary file is not readable by humans. The term “binary file” is usually used as a term meaning “non-text file“. A binary file’s code should be evaluated by a program or a hardware processor that knows exactly how it is … Read more
Logical operators are used to carrying out Boolean operations like AND, OR, and NOT, etc. The logical operators can operate on raw, logical, and number-like vectors. Logical operators allow us to change or compare the results. There are various types of operators available in R, and logical is one of them, and in that, we … Read more