Publications by Sebastien Parker
Tutorial 6 (252)
Setting Up R for Analysis First, let’s install and load the necessary packages. This step ensures that we have all the tools we need for our analysis. Data Preparation and Exploration Let’s create a binary outcome variable for Clinton votes in the 2016 election: # Load the States data data(USStates) States <- USStates States$Clinton <- abs(as...
8275 sym R (17948 sym/104 pcs) 22 img 1 tbl
Tutorial 5 (SOC252)
Introduction This tutorial covers how to perform Multiple Linear Regression (MLR) and interactions in R, including how to produce and interpret regression tables using sjPlot. We’ll use two datasets to start: HappyPlanetIndex (for global data) and States (for US state-level data). Setting Up R for Analysis First, let’s install and load the nec...
9455 sym R (23584 sym/104 pcs) 19 img 2 tbl
Tutorial 4 (SOC252)
# List of packages packages <- c("tidyverse", "fst", "modelsummary", "broom", "sjPlot", "ggplot2", "car", "Lock5Data", "mosaic") # add any you need here # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.packages(new_packages) # Load the ...
11981 sym Python (15066 sym/64 pcs) 13 img 7 tbl
Tutorial 3 (252)
# List of packages packages <- c("tidyverse", "fst", "modelsummary", "viridis", "kableExtra", "flextable", "officer") # add any you need here # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.packages(new_packages) # Load the packages la...
8859 sym R (45574 sym/75 pcs) 17 img 3 tbl
Second Tutorial (252)
Visualizing and Exploring First, let’s load the packages we will use. You can always add more as needed # List of packages packages <- c("tidyverse", "gapminder", "fst", "viridis", "ggridges", "modelsummary", "RColorBrewer", "PrettyCols") # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packa...
6708 sym Python (27970 sym/56 pcs) 20 img
First Tutorial (252)
Introduction to R and Exploratory Data Analysis (EDA) Welcome future data analysts! R is a powerful tool for statistical analysis and data visualization. This comprehensive tutorial will guide you through the basics of R, with a focus on Exploratory Data Analysis (EDA), answering simple descriptive questions, and visualizing the results. Setting U...
12791 sym R (48191 sym/127 pcs) 41 img
Research Report
# List of packages packages <- c("tidyverse", "infer", "fst") # add any you need here # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.packages(new_packages) # Load the packages lapply(packages, library, character.only = TRUE) ## ...
190 sym 1 img
Document
###Setting up the Environment # List of packages packages <- c("tidyverse", "infer", "fst", "modelsummary", "effects", "survey", "MASS", "aod", "interactions", "kableExtra", "flextable", "scales", "marginaleffects","performance") # add any you need here # Install packages if they aren't installed already new_packages <- packages[!(packages %in% in...
3053 sym Python (18892 sym/57 pcs) 3 img 4 tbl
Homework 4 -- Answer Key
# List of packages packages <- c("tidyverse", "infer", "fst", "modelsummary", "broom") # add any you need here # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.packages(new_packages) # Load the packages lapply(packages, library, charact...
2684 sym Python (10386 sym/18 pcs) 3 img 1 tbl
Homework 5 -- Answer Key
packages <- c("tidyverse", "infer", "fst", "modelsummary", "effects", "survey", "MASS", "aod", "interactions", "kableExtra", "flextable", "scales", "performance") # add any you need here # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.p...
6326 sym Python (13724 sym/44 pcs) 4 img 5 tbl