![]() # 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.It gives you a histogram of price under two different categories: Foreign and Domestic. ![]() Similarly, we can use the mcolor() option in a twoway histogram: twoway (histogram price if foreign, width(500) start(2000) color(red%50) disc freq) (histogram price if !foreign, width(500) start(2000) color(blue%50) disc freq), legend(order(1 "Foreign" 2 "Domestic")) This will give you a graph with 20% opacity in red: If you want the marker colors to be red and with 20% opacity, you will need to specify mcolor(red%20): histogram price, color(red%20) frequency NOTE: Normally we use the marker color option mcolor(), we use color() option here because that is where colors are specified for histograms. If you want to change the color, you will need to specify the color you want, if you omit the color specification, Stata will adjust only the opacity of the object. In the above command, color(%20) means that markers are to be the default color with 20% opacity. For example: histogram price, color(%20) frequency Then right click, select Plot region properties, then a window will pop up, you can change your graph’s color and opacity manually:Īlternatively, we can type directly in the command pane. To adjust the transparency, in the Graph window, click the Graph Editor button to Start Graph Editor: ![]() 100% means that the color fully hides the background, and 0% means that the color has no coverage ans is fully transparent. opacity is the percentage of a color that covers the background color. Stata will produce a basic histogram, with default color and 100% opacity. In the command pane (you can also use the menu to achieve the same result: Graphics > Histogram), I type: histogram price, frequency To demonstrate, I use the automobile dataset.įirst, let’s start from the simple histogram. As a new feature in Stata 15, it allows you to specify the percentage opacity. However, sometimes you might want to see what lies underneath, and that usually produces better-looking graphs. By default, the elements in Stata graph is not transparent, or 100% opaque. In this post, I’m going to show you how to adjust the transparency of your Stata graph.
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