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Course content
Sections:
13
•
Activities:
0
•
Resources:
70
- 001 Make your data make sense yPdL gitir
- 002 Using the exercise files zePH gitir
- 003 R in context KzNt gitir
- 004 Data science with R A case study cGfr gitir
- 005 Installing R 9weW gitir
- 006 Environments for R vMEq gitir
- 007 Installing RStudio B7Er gitir
- 008 Navigating the RStudio environment J9z8 gitir
- 009 Entering data kTtu gitir
- 010 Data types and structures InaV gitir
- 011 Comments and headers MloE gitir
- 012 Packages for R CPs6 gitir
- 013 The tidyverse pu0f gitir
- 014 Piping commands with SglL gitir
- 015 R s built in datasets DEqw gitir
- 016 Exploring sample datasets with pacman hvtF gitir
- 017 Importing data from a spreadsheet gQ0F gitir
- 018 Importing XML data 07F1 gitir
- 019 Importing JSON data hOeG gitir
- 020 Saving data in native R formats REDN gitir
- 021 Introduction to ggplot2 MmKa gitir
- 022 Using colors in R mGkg gitir
- 023 Using color palettes VQCy gitir
- 024 Creating bar charts xeBw gitir
- 025 Creating histograms DJus gitir
- 026 Creating box plots mL9n gitir
- 027 Creating scatterplots wHH2 gitir
- 028 Creating multiple graphs x6mc gitir
- 029 Creating cluster charts mVpc gitir
- 030 Creating tidy data LmBD gitir
- 031 Using tibbles H30h gitir
- 032 Using data table SrYh gitir
- 033 Converting data from wide to tall and from tall to wide 7NxD gitir
- 034 Converting data from tables to rows xJmn gitir
- 035 Working with dates and times hQmk gitir
- 036 Working with list data JArT gitir
- 037 Working with XML data hS5N gitir
- 038 Working with categorical variables yefF gitir
- 039 Filtering cases and subgroups A2H4 gitir
- 040 Recoding categorical data oXmF gitir
- 041 Recoding quantitative data 2Obd gitir
- 042 Transforming outliers sx2f gitir
- 043 Creating scale scores by counting CH4h gitir
- 044 Creating scale scores by averaging vOmX gitir
- 045 Data science with R A case study J7iI gitir
- 046 Computing frequencies xLVy gitir
- 047 Computing descriptive statistics Yo7i gitir
- 048 Computing correlations y83z gitir
- 049 Creating contingency tables qQMB gitir
- 050 Conducting a principal component analysis QjaA gitir
- 051 Conducting an item analysis tEWW gitir
- 052 Conducting a confirmatory factor analysis rsIL gitir
- 053 Comparing proportions bCos gitir
- 054 Comparing one mean to a population One sample t test JYbA gitir
- 055 Comparing paired means Paired samples t test vHmY gitir
- 056 Comparing two means Independent samples t test X0fC gitir
- 057 Comparing multiple means One factor analysis of variance k3k9 gitir
- 058 Comparing means with multiple categorical predictors Factorial analysis of variance euBT gitir
- 059 Predicting outcomes with linear regression PUtA gitir
- 060 Predicting outcomes with lasso regression xHbG gitir
- 061 Predicting outcomes with quantile regression c2nS gitir
- 062 Predicting outcomes with logistic regression 34n1 gitir
- 063 Predicting outcomes with Poisson or log linear regression jsBB gitir
- 064 Assessing predictions with blocked entry models MxHj gitir
- 065 Grouping cases with hierarchical clustering ZZ4n gitir
- 066 Grouping cases with k means clustering bYEQ gitir
- 067 Classifying cases with k nearest neighbors V233 gitir
- 068 Classifying cases with decision tree analysis i5G3 gitir
- 069 Creating ensemble models with random forest classification hMQY gitir
- 070 Next steps DJlj gitir