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2015lab1

alien_native_competition

Codes for the paper, common alien plants are more competitive than rare natives but not than common natives

awesome-datascience

An awesome Data Science repository to learn and apply for real world problems.

blog

This repository contains codes for all of my blog posts since March 11 2015.

community-assembly-grazing

coursera-statistical-inference

Repo for Coursera.com online course: Statistical Inference

creating-maps-in-r

Introductory tutorial on graphical display of geographical information in R.

da-in-python

datasciencecoursera

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasharing

The Leek group guide to data sharing

esa_data_viz_2014

ESA 2014, Data Visualization in R workshop

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

firstrepo

ggplot-cheatsheet

cheatsheet for ggplot2

github-pages-academic-starter-kit

Get your webpage up quickly!

grassland-restoration-with-biosolids

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

lares

R Library for Analytics and Machine Learning

letsdothis

logistic-regression-coefficients-interpretation

Examples to explain the concept of odds, odds ratios and to get more familiar with the meaning of the logistic regression coefficients.

myproject

neon_stability

network_ma_frontiers_tutorial

This is a code set for a tutorial for A Frontiers in Veterinary Science Manuscript

practice_assignment

Practice assignment for the R programming class on Coursera

progbio

Teaching materials for classes teaching programming to biologists

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

projects

Trying to complete over 100 projects in various categories in Python. Fork to learn any new language.

r-gis-tutorial

Spatial data in R: using R as a GIS

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research