Lesson 14 of 16 • 3 upvotes • 12:02mins
In this lesson, you'll learn about one of the great advantages of using a statistical programming language like R is its vast collection of tools for simulating random numbers. This lesson assumes familiarity with a few common probability distributions, but these topics will only be discussed with respect to random number generation. Even if you have no prior experience with these concepts, you should be able to complete the lesson and understand the main ideas.
16 lessons • 2h 26m
Course Overview (in Hindi)
5:00mins
Basic Building Blocks (in Hindi)
13:18mins
Workspace and Files (in Hindi)
8:48mins
Sequences and Numbers (in Hindi)
7:00mins
Vectors (in Hindi)
11:00mins
Missing Values (in Hindi)
7:14mins
Subsetting Vectors
9:02mins
Matrices and Data Frames (in Hindi)
8:09mins
Logic (in Hindi)
9:55mins
Functions (in Hindi)
10:28mins
Lapply and Sapply (in Hindi)
9:10mins
Vapply and Tapply (in Hindi)
7:11mins
Looking at Data (in Hindi)
8:10mins
Simulation (in Hindi)
12:02mins
Date and Time (in Hindi)
8:27mins
Base Graphics (in Hindi)
11:37mins