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Welcome to the pa515 wiki!
- 1.1 What is R?
- 1.2 Getting Started with R
- 1.3 Installing and using packages in R
- 1.4 Importing Dataset to R
- 1.5 The proportion of people who don't have health insurance
- Read data
- Subset datasets
- Creating a new variable by extracting substrings from strings
- Merging two datasets
- Creating a new column based on the values of other columns
- Removing the columns that are not needed
- Creating a scatter plot: Poverty against broadband access
- Import the dataset
- Left merging
- Creating a Categorical Variable Based on a Continuous Variable
- Bar graph
- Histogram
- Scatter Plot and a linear best-fit line
- Pearson's Correlation
- Covariance
- Import dataset
- Calculating the proportion of renters in each block
- Replacing missing values to 0
- Population distribution
- Measuring the skewness of a distribution
- A sampling distribution of sample means
- Import dataset
- Arrange the variables in alphabetical order
- Subset the dataset
- Missing Data
- Find the standard error and calculate the margin of error
- Download and Import the Dataset
- Arrange the variables in the alphabetical order
- Descriptive Statistics Table
- One sample t-test
- Import dataset
- Frequency of each value of a variable
- Convert the labels of variables
- Subset the dataset for the chi-square test
- Create a categorical variable based on a numeric variable
- Level of Confidence - From Numeric Values to Characters
- Perform a chi-square test and create the contingency tables
- Explain the residuals
- Visualizing the residuals
- Your turn - Examine a statistical independence between abany and polview
- Download and Import the Dataset
- Arrange the variables in the alphabetical order
- Creating race6, a categorical variable
- Visualizing the average years of education across racial/ethnic groups
- Conducting ANOVA
- Post-Hoc Test: Pairwise Comparisons With Bonferroni Correction
- Post-Hoc Test: Tukey-Kramer post hoc test