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Course Description
A DataCamp companion to Quantitative Social Science by Kosuke Imai (Princeton University Press, 2017)
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Introduction
FreeAn introduction to R
R as a calculator100 xpStoring results100 xpCharacters and strings100 xpCopying and reassigning variables100 xpWorking with real data100 xpIndexing and subsetting100 xpUsing functions100 xpCreating and using sequences100 xpReplacing values in a vector100 xpArithmetic with vectors100 xpWorking with a data.frame100 xpSubsetting a data frame (I)100 xpSubsetting a data frame (II)100 xp - 2
Causality
FreeUsing R to help establish causal statements
Exploring the resume data100 xpCreating a cross tab100 xpLogical values100 xpComparing logicals50 xpComparing objects100 xpComplex relationals100 xpSubsetting based on logicals100 xpSubsetting a data frame100 xpComparing means across treatment conditions100 xpUsing simple conditional statements100 xpFactor variables100 xpUsing factors100 xp - 3
Measurement
FreeUsing R to help measure different social science concepts
Small class size data100 xpHandling missing data100 xpCalculating means in the fact of missing data100 xpVisualizing data: the barplot100 xpMaking the barplot readable100 xpHistograms100 xpSprucing up the histogram100 xpAdding lines and text to a plot100 xpBoxplots100 xpScatter plots100 xpPlotting two sets of points100 xpFinalizing your scatter plot100 xp - 4
Prediction (Part I)
FreeGetting used to for loops and conditionals.
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