Ecological Detective - Relationships and probability
Posted on February 23, 2017
Exploring the relationship between two variables First lets bring in the data from the previous lesson library(tidyverse)library(broom) fish_data <- read_csv("https://raw.githubusercontent.com/chrischizinski/MWFWC_FishR/master/CourseMaterial/data/wrkshp_data.csv") ## Parsed with column specification:## cols(## .default = col_character(),## WaterbodyCode...
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Ecological Detective - Know your data
Posted on February 10, 2017
Recreating Figure 2.1 in Ecological Detective There are many different hypotheses that can explain the basic relationship between two variables. Figure 2.1 in the Ecologial Detective suggest 4 possible models....
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Ecological Detective - Introduction
Posted on February 3, 2017
Ecological Detective Preface: Beyond the Null hypothesis Tools of an Ecological Detective Classic Hypothesis Testing M~1~: Boom and bust (complete extinction between colonizations) hypothesis M~2~: Constant prevalance of population but...
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RMarkdown tutorial
Posted on January 20, 2017
This is just a gentle introduction to what you can do with Rmarkdown. There are lots of tutorials out there to help you further (Software carpentry, Data carpentry). There is...
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Getting to know R again (with some new stuff thrown in)
Posted on January 13, 2017
Getting to know R again (with some new stuff thrown in) Using data from Google sheets (kind of) Google Forms is a quick and cheap way to put together an...
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Single factor ANOVA
Posted on December 9, 2016
The RMarkdown file for this lesson can be found here. This lesson will follow Chapter 8 in Quinn and Keough (2002). Load the packages we will be using in this...
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Multiple regression
Posted on November 11, 2016
The RMarkdown file for this lesson can be found here. This lesson will follow Chapter 6 in Quinn and Keough (2002). Load the packages we will be using in this...
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Simple regression
Posted on October 28, 2016
The RMarkdown file for this lesson can be found here. This lesson will follow Chapter 5 in Quinn and Keough (2002). Load the packages we will be using in this...
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Correlation
Posted on October 20, 2016
The RMarkdown file for this lesson can be found here This lesson will follow Chapter 5 in Quinn and Keough (2002). Correlation analysis Consider a study, where we are interested...
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Hypothesis Testing
Posted on October 13, 2016
The RMarkdown file for this lesson can be found here This lesson will follow Chapter 3 in Quinn and Keough (2002). Statistical hypothesis testing In the biological sciences, among other...
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Estimation of parameters
Posted on October 7, 2016
Like determining population parameters , we often want to calculate the parameters in our regression models. There are two basic procedures that are often used to determine those. These sections...
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Estimation
Posted on October 7, 2016
The RMarkdown file for this lesson can be found here. This lesson will follow Chapter 2 in Quinn and Keough (2002). Samples and populations Biologists want to make inferences about...
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Themes, facets, and outputting plots
Posted on October 5, 2016
Themes One of my favorite aspects of ggplot2 is the use of themes. Not including a theme, the default ggplots theme is the theme_grey which has a dark grey background...
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Web graphics
Posted on October 4, 2016
Plots for the web There has been increasing need and desirability to produce interactive graphics online. News outlets, like the The Economist, New York Times, Vox, 538, Pew, and Quartz,...
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Some basics on ggplots
Posted on October 3, 2016
Basic plotting in ggplot ggplot is a package that has truly upped the level of producing quality graphics using R. The “g g” in ggplot refers to the grammar of...
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