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Intro to Computational BioStatistics with R
(Fall 2020)
(Old site; new site is at https://scinet.courses)
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Friday May 31, 2024 - 01:24
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1 Description
2 Software Requirements
3 ZOOM meeting info
4 Lectures
4.1 Intro to Linux Shell I
4.2 Intro to Linux Shell II
4.3 Intro to R
4.4 Vectors
4.5 Functions
4.6 Scripts
4.7 Loops
4.8 Best Practices
4.9 Version Control - GIT
4.10 Stats I
4.11 Stats II
4.12 Visualization
4.13 Resampling
4.14 Classification
4.15 Neural networks
4.16 HPR
5 Recordings
5.1 Intro to Linux Shell
5.2 Intro to Linux Shell II
5.3 Intro to R
5.4 Vectors
5.5 Functions
5.6 Scripts
5.7 Loops
5.8 Coding Best Practices
5.9 Version Control - GIT
5.10 Stats I - i
5.11 Stats I - ii
5.12 Stats I - iii
5.13 Stats I - iv
5.14 Stats II - i
5.15 Stats II - ii
5.16 Stats II - iii
5.17 Stats II - iv
5.18 Stats II - v: Power Analysis
5.19 Visualization: Basic Plotting
5.20 Visualization: Interactive...
5.21 Visualization: Professiona...
5.22 Resampling
5.23 Classification
5.24 Neural Networks
5.25 High-Performance R
6 Assignments
6.1 Assignment 1
6.2 Assignment 2
6.3 Assignment 3
6.4 Defensive Programming, Tes...
6.5 Assignment 5
6.6 Assignment 6
6.7 Assignment 7 (cont. Assign...
6.8 Assignment 8
6.9 Assignment 9
6.10 Assignment 10
6.11 Assignment 11 (make-up)
7 Tutorials
7.1 Homoscedasticity, Residual...
7.2 Hypothesis Testing
Course Calendar
Forum Posts
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Programming in Pytho...
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Perm
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P value rounding
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Last Assignment (?) ...
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Post-hoc analysis
Related
Intro to Computational BioStatistics with R (Fall 2019)
Intro to Computational BioStatistics with R (Fall 2018)
Intro to Computational BioStatistics (Winter 2018)
Intro to Clinical BioStatistics (Quantitative Applications for Data Analysis) (Fall 2017)
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