Course

Additional

Find the Statistical Mode Write to a File Format Decimal Places

Data Frames

Convert a List to a Dataframe Create an Empty Dataframe Combine Two Dataframe into One Change Column Name of a Dataframe Extract Columns From a Dataframe Drop Columns in a Dataframe Reorder Columns in a Dataframe Split Dataframe Merge Multiple Dataframes Delete Rows From Dataframe Make a List of Dataframes

Introduction

"Hello World" Program Add Two Vectors Find Sum, Mean and Product of Vector in R Programming Take Input From User Generate Random Number from Standard Distributions Sample from a Population Find Minimum and Maximum Sort a Vector

Strings

Concatenate Two Strings Find the Length of a String Check if Characters are Present in a String Extract n Characters From a String Replace Characters in a String Compare two Strings Convert Factors to Characters Trim Leading and Trailing Whitespaces

Vectors

Concatenate a Vector of Strings Check if a Vector Contains the Given Element Count the Number of Elements in a Vector Find Index of an Element in a Vector Access Values in a Vector Add Leading Zeros to Vector

Decision and Loops

Find the Factorial of a Number R Multiplication Table Check Prime Number check Armstrong Number Print the Fibonacci Sequence Check for Leap Year Check if a Number is Odd or Even in R Programming Check if a Number is Positive, Negative or Zero Find the Sum of Natural Numbers

Functions

Convert Decimal into Binary using Recursion in R Find the Factorial of a Number Using Recursion Find the Factors of a Number Fibonacci Sequence Using Recursion in R Find H.C.F. or G.C.D.Find L.C.M.Make a Simple Calculator Sum of Natural Numbers Using Recursion

Find Sum, Mean and Product of Vector in R Programming

We can sum the elements of a vector using the sum() function.

Similarly, mean() and prod() functions can be used to find the mean and product of the terms.

Example: Vector Elements Arithmetic


              
> sum(2,7,5)
[1] 14

> x
[1]  2 NA  3  1  4

> sum(x)    # if any element is NA or NaN, result is NA or NaN
[1] NA

> sum(x, na.rm=TRUE)    # this way we can ignore NA and NaN values
[1] 10

> mean(x, na.rm=TRUE)
[1] 2.5

> prod(x, na.rm=TRUE)
[1] 24

Whenever a vector contains NA (Not Available) or NaN (Not a Number), functions such as sum(), mean(), prod() etc. produce NA or NaN respectively.

In order to ignore such values, we pass in the argument na.rm = TRUE.