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  1. Rstudio (pick the appropriate Installer for your operating system).  
  2. R (pick the appropriate download for your operating system and choose the most recent version)

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Schedule

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********10 1010 1111 12:301230 13301330  1415 and arguments1415 1515 manipulation (Part 1) 1515 15251525 17  manipulation (Part 2)
************************************ Day1 Schedule
************************************
09:00 -
09:30

Introduction to course

Radhika
09:30 -
10:10

Intro to R and RStudio

Meeta
10:10 -
10:45

R syntax and data structure

Mary
10:45- 10:55Coffee 
10:55 - 11:40

R syntax and data structure (contd.)

Mary

11:

40 -

12:

40

Lunch 
12:
40 -
13:
25

Functions

, arguments, packages and seeking help

Meeta
13:
25 -
14:
25

Data

wrangling: vectors and factors 

Radhika
14:
25 -
14:
35Coffee 
14:
35 -
16:00

Data

wrangling: matrices, data frames and lists

Mary


1030 11051105 120013:50 - 14:501450 1500Coffee 1500 1605 1605 161516:15 - 17
******************************************** Day2 Schedule ********************************************
1009:15 00 - 1009:3015

Refresher

All
09:15 - 10:15Nested functions

Matching

Meeta
10:
15 -
10:

Matching and simple statistics

Mary

12:00 - 13:00

Lunch 
13:00 - 13:50

Matching and simple statistics

Mary
30Coffee 
10:30 - 11:00

Matching (contd.)

Mary
11:00 - 11:45

Data visualization with R

Radhika

11:

45 -

12:

45

Lunch 
12:45 - 13:30

Data visualization with R (

cont

contd.)

MeetaRadhika
13:30 - 13:45

Resources, wrap-up, questions

Radhika
13:45 - 14:00Coffee 
14:00 - 16:00Optional

In-class Exercises/Practice

(

Introduction to R -

Answer Key)

All

Anchor
Requirements
Requirements

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These lessons have been developed by members of the teaching team at the Harvard Chan Bioinformatics Core (HBC). These are open access materials distributed under the terms of the Creative Commons Attribution license (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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