Use the OVERLAY option in the HISTOGRAM statement of PROC UNIVARIATE (requires SAS 9.4m3).Use the GROUP= option in the HISTOGRAM statement of PROC SGPLOT (requires SAS 9.4m2).
If you only have two groups and you want to overlay partially transparent histograms, you can do the following:
Use PROC SGPANEL, which provides you with complete control over the layout of the panel, axes, and other graphical options. This is a good choice if you also want to compute descriptive statistics or fit a distribution to the data. Use the CLASS statement in PROC UNIVARIATE to specify the grouping variable. To obtain a panel of histograms, the data must be in the "long" format. In summary, SAS provides multiple ways to use histograms to compare the distributions of data. Keylegend "petal" "sepal" / across= 1 position=TopRight location=Inside Name= "sepal" legendlabel= "Sepal Width" ĭensity PetalLength / type=kernel lineattrs=GraphData1 /* optional */ĭensity SepalLength / type=kernel lineattrs=GraphData2 /* optional */ Histogram SepalLength / binwidth= 5 transparency= 0.5 Name= "petal" legendlabel= "Petal Width" Histogram PetalLength / binwidth= 5 transparency= 0.5 Title "Overlay Histograms with PROC SGPLOT" To use PROC UNIVARIATE, specify the categorical variable on the CLASS statement and the continuous variable on the HISTOGRAM statement.įor example, the following example compares the distribution of the SepalLength variable for each of the three values of the Species variable in the Sashelp.Iris data: If your data are in "wide form," you canĬonvert the data from wide form to long form. In SAS, you can create a panel of histograms by using PROC UNIVARIATE or by using PROC SGPANEL.īoth procedures require that the data be in "long form": one continuous variable that specifies the measurements and another categorical variable that indicates the group to which each measurement belongs. I usually prefer a column layout because it enables you to visualize the relative locations of modes and medians in the data. You can create the histograms in a column (stacked vertically) or in a row. Overlay and panel histograms in #SAS Click To Tweet Panel of histogramsĪ panel of histograms enables you to compare the data distributions of different groups. However, thanks to recent features added to PROC SGPLOT, PROC SGPANEL, and PROC UNIVARIATE, you can now create comparative histograms in SAS without writing any GTL. In the SAS 9.2 and SAS 9.3 releases, the graph template language (GTL) was required to construct some of these graphs. This article collects many of the ideas in one place. Sanjay Matange and I have each written multiple previous articles on this topic. #HOW TO COMBINE HISTOGRAM IN EXCEL 2016 HOW TO#
This article shows how to create comparative histograms in SAS. There are two common ways to construct a comparative histogram: you can create a panel of histograms, or you can overlay histograms in a single graph. Common subpopulations include males versus females or a control group versus an experimental group. A comparative histogram enables you to compare two or more distributions, which usually represent subpopulations in the data. You can use histograms to visualize the distribution of data.
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