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01 - first steps.R
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R
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1.4 KB
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02a - compare two groups with ttest.R
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R
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2.3 KB
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02b - compare two groups with ttest on data from dataframe.R
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R
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3.8 KB
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02c - compare two groups with lm.R
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R
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5.5 KB
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03 - compare more than two groups.R
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R
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6.4 KB
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04 - linear regression.R
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R
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3.3 KB
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05 - Intro to ggplot.R
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R
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3.2 KB
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06 - testing the effects of factorial + continuous predictors.R
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R
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7 KB
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07 - testing the effect of two factorial predictors.R
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R
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5.7 KB
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08 - testing the effect of two continuous predictors.R
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R
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4.9 KB
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09 - polynomial regression.R
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R
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2.6 KB
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1. A panoramic of some data-wrangling tools.mp4
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MP4
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55.7 MB
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1. A panoramic of some data-wrangling tools.srt
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SRT
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8.4 KB
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1. An example using function nls().mp4
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MP4
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91.7 MB
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1. An example using function nls().srt
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SRT
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9.5 KB
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1. An example with count data.mp4
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MP4
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20.3 MB
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1. An example with count data.srt
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SRT
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8.2 KB
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1. Comparing more than two groups with lm().mp4
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MP4
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133.6 MB
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1. Comparing more than two groups with lm().srt
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SRT
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17.4 KB
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1. Concepts, scenarios, and worked example.mp4
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MP4
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97.1 MB
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1. Concepts, scenarios, and worked example.srt
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SRT
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15.2 KB
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1. Example 1.mp4
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MP4
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52.3 MB
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1. Example 1.srt
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SRT
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6.8 KB
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1. Final remarks.mp4
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MP4
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10.6 MB
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1. Final remarks.srt
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SRT
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5.2 KB
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1. Housework on a Mac.mp4
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MP4
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16.2 MB
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1. Housework on a Mac.srt
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SRT
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2.8 KB
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1. How to produce and interpret diagnostic plots.mp4
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MP4
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33.3 MB
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1. How to produce and interpret diagnostic plots.srt
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SRT
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9.3 KB
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1. Introducing lm() - example comparing two groups.mp4
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MP4
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68.6 MB
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1. Introducing lm() - example comparing two groups.srt
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SRT
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9.8 KB
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1. Introduction to ggplot2.mp4
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MP4
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99.3 MB
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1. Introduction to ggplot2.srt
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SRT
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11.1 KB
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1. Introduction.mp4
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MP4
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19.7 MB
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1. Introduction.srt
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SRT
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1.8 KB
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1. Performing linear regression in R.mp4
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MP4
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47.9 MB
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1. Performing linear regression in R.srt
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SRT
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6.8 KB
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1. Scenarios and worked example.mp4
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MP4
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128.6 MB
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1. Scenarios and worked example.srt
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SRT
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16.3 KB
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1. t.test() - part 1.mp4
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MP4
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20.1 MB
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1. t.test() - part 1.srt
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SRT
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9.1 KB
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1.1 02a - compare two groups with ttest.R
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R
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2.3 KB
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1.1 02c - compare two groups with lm.R
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R
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5.5 KB
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1.1 03 - compare more than two groups.R
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R
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6.4 KB
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1.1 04 - linear regression.R
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R
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3.3 KB
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1.1 05 - Intro to ggplot.R
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R
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3.2 KB
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1.1 06 - testing the effects of factorial + continuous predictors.R
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R
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7 KB
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1.1 07 - testing the effect of two factorial predictors.R
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R
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5.7 KB
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1.1 08 - testing the effect of two continuous predictors.R
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R
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4.9 KB
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1.1 09 - polynomial regression.R
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R
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2.6 KB
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1.1 10 - non-linear modelling.R
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R
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4.2 KB
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1.1 11 - glm Poisson.R
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R
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3.8 KB
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1.1 12 - data wrangling.R
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R
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3.9 KB
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1.1 Manuals and other resources.pdf
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PDF
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56.3 KB
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1.1 ancova.pdf
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PDF
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117.9 KB
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1.1 housework mac.R
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R
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204.8 B
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1.2 ANCOVA_data.csv
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CSV
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3.7 KB
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1.2 anova1.pdf
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PDF
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453.9 KB
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1.2 anova_type2_data.csv
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CSV
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13.7 KB
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1.2 compare_2_species.csv
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CSV
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2.9 KB
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1.2 compare_6_species.txt
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TXT
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46.5 KB
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1.2 count_data.csv
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CSV
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1.8 KB
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1.2 multi_reg_data.csv
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CSV
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7 KB
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1.2 non_linear_datasets.xlsx
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XLSX
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54.1 KB
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1.2 regression_data.csv
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CSV
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716.8 B
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1.3 GLM resources.pdf
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PDF
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43.5 KB
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1.3 anova2.pdf
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PDF
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152.1 KB
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1.3 regression_data.csv
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CSV
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716.8 B
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1.4 multi_reg.pdf
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PDF
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138.8 KB
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1.5 non_linear.pdf
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PDF
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161.5 KB
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1.6 poisson.pdf
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PDF
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242.6 KB
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1.7 poly2.pdf
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PDF
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72.7 KB
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1.8 sim_heterosc.pdf
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PDF
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87.3 KB
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10 - non-linear modelling.R
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R
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4.2 KB
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11 - glm Poisson.R
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R
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3.8 KB
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12 - data wrangling.R
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R
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3.9 KB
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2. Evaluating diagnostic plots for a linear regression.mp4
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MP4
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5.8 MB
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2. Evaluating diagnostic plots for a linear regression.srt
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SRT
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4.3 KB
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2. Example 2.mp4
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MP4
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26.1 MB
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2. Example 2.srt
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SRT
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3.3 KB
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2. Housework on a Windows machine.mp4
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MP4
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20.9 MB
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2. Housework on a Windows machine.srt
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SRT
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2.4 KB
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2. Installing R.mp4
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MP4
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34.6 MB
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2. Installing R.srt
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SRT
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5.4 KB
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2. t.test() - part 2.mp4
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MP4
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72.2 MB
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2. t.test() - part 2.srt
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SRT
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8.8 KB
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2.1 02b - compare two groups with ttest on data from dataframe.R
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R
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3.8 KB
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2.1 housework windows.R
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R
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512 B
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2.2 compare_2_species.csv
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CSV
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2.9 KB
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3. Housework in RStudio.mp4
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MP4
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23.4 MB
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3. Housework in RStudio.srt
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SRT
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3.3 KB
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3. Writing code and creating object in the R console.mp4
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MP4
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4.7 MB
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3. Writing code and creating object in the R console.srt
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SRT
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1 KB
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4. Housework - final remarks.mp4
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MP4
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5.1 MB
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4. Housework - final remarks.srt
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SRT
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1.1 KB
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4. Your first R script.mp4
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MP4
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24.2 MB
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4. Your first R script.srt
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SRT
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5.3 KB
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4.1 01 - first steps.R
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R
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1.4 KB
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5. Your first graph.mp4
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MP4
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9.5 MB
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5. Your first graph.srt
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SRT
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2 KB
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6. Your second graph.mp4
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MP4
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40.5 MB
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6. Your second graph.srt
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SRT
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6.4 KB
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7. Saving figures on a Windows machine.mp4
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MP4
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15.4 MB
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7. Saving figures on a Windows machine.srt
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SRT
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2.1 KB
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ANCOVA_data.csv
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CSV
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3.7 KB
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Bonus Resources.txt
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TXT
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307.2 B
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DS_Store
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6 KB
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Get Bonus Downloads Here.url
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URL
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204.8 B
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Rapp.history
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HISTORY
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6.3 KB
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_.DS_Store
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DS_STORE
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102.4 B
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_01 - first steps.R
|
R
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204.8 B
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_02a - compare two groups with ttest.R
|
R
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307.2 B
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_02b - compare two groups with ttest on data from dataframe.R
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R
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307.2 B
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_02c - compare two groups with lm.R
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R
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307.2 B
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_03 - compare more than two groups.R
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R
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204.8 B
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_04 - linear regression.R
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R
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204.8 B
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_05 - Intro to ggplot.R
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R
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307.2 B
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_06 - testing the effects of factorial + continuous predictors.R
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R
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204.8 B
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_07 - testing the effect of two factorial predictors.R
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R
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204.8 B
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_08 - testing the effect of two continuous predictors.R
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R
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307.2 B
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_09 - polynomial regression.R
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R
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307.2 B
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_10 - non-linear modelling.R
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R
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307.2 B
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_11 - glm Poisson.R
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R
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307.2 B
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_12 - data wrangling.R
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R
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204.8 B
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anova_type2_data.csv
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CSV
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13.7 KB
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compare_2_species.csv
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CSV
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2.9 KB
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compare_6_species.txt
|
TXT
|
46.5 KB
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|
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count_data.csv
|
CSV
|
1.8 KB
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diel_activity_data.csv
|
CSV
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7.3 KB
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multi_reg_data.csv
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CSV
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7 KB
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non_linear_datasets.xlsx
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XLSX
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54.1 KB
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|
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pairwise_tests.csv
|
CSV
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1.5 KB
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poly_data1.csv
|
CSV
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1.4 KB
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poly_data2.csv
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CSV
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2.3 KB
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regression_data.csv
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CSV
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716.8 B
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