# If necessary # install.packages(c('ggplot2','cowplot')) # load packages library ( ggplot2 ) # Cowplot is just to join together the four graphs at the end library ( cowplot ) # load data (the Economics dataset comes with ggplot2) eco_df <- economics # basic plot p1 <- ggplot () + geom_line ( aes ( x = date, y = uempmed ), data = eco_df ) p1 # Change line color and chart labels # Note here that color is *outside* of the aes() argument, and so this will color the line # If color were instead *inside* aes() and set to a factor variable, ggplot would create # a different line for each value of the factor variable, colored differently. This site uses Just the Docs, a documentation theme for Jekyll. Import a Delimited Data File (CSV, TSV).Graphing a By-Group or Over-Time Summary Statistic.

Marginal Effects Plots for Interactions with Continuous Variables.Marginal effects plots for interactions with categorical variables.Line Graph with Labels at the Beginning or End of Lines.Marginal Effects in Nonlinear Regression.Density Discontinuity Tests for Regression Discontinuity.Random/Mixed Effects in Linear Regression.

McFadden's Choice Model (Alternative-Specific Conditional Logit).

Determine the Observation Level of a Data Set.

Creating a Variable with Group Calculations.

Then we put in the if qualifier if cname='Sweden', which states that only observations on which the variable 'cname' has the value 'Sweden' are included. Within the parentheses we start with line and then the variable that we want on the Y axis ('gle_rgdpc') and then the variable we want on the X axis ('year'). The main structure of the command is that we write twoway to start the graph and then add the line graph in a layer of its own, delimited by parentheses.

But since we might want them later, we instead do the filtering within the line graph command, with the aid of if qualifiers. We ould do it by deleting all other observations from the data. We will therefore need to filter out all observations that are not Sweden. It is important to bear in mind that a simple line graph only shows the value of one observation per time unit. Our graph will show the development of GDP per capita in Sweden, with the help of the twoway command.

Xline color stata