By Geoff Der, Brian S. Everitt
Easily Use SAS to provide Your Graphics
Diagrams, plots, and different forms of pix are crucial parts in approximately all stages of statistical research, from the preliminary review of the knowledge to the choice of acceptable statistical versions to the analysis of the selected versions after they were suited for the information. Harnessing the entire images functions of SAS, A guide of Statistical images utilizing SAS ODS covers crucial graphical equipment wanted in each statistician’s toolkit. It explains find out how to enforce the equipment utilizing SAS 9.4.
The instruction manual indicates the best way to use SAS to create many varieties of statistical photographs for exploring information and diagnosing equipped versions. It makes use of SAS’s more recent ODS pix all through as the program deals an a variety of benefits, together with ease of use, prime quality of effects, constant visual appeal, and handy semiautomatic graphs from the statistical systems.
Each bankruptcy bargains graphically with a number of units of instance information from a large choice of components, comparable to epidemiology, medication, and psychology. those examples illustrate using image screens to offer an summary of knowledge, to indicate attainable hypotheses for checking out new facts, and to interpret geared up statistical versions. The SAS courses and information units can be found online.
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Additional info for A handbook of statistical graphics using SAS ODS
3 Plot of means and standard deviations using vline statement. 4 Clustered bar plot. 6 Distribution Plots The histogram, density, hbox and vbox statements plot the distribution of a continuous variable as a histogram, density plot or box plot (horizontal or vertical). These plots are described in detail in the next chapter. For categorical variables the vbar and hbar statements may be used without a response variable either with stat=freq, which is the default and so can be omitted, or with stat=percent.
3. There is no limit line for decade 30 as there is only one person in this age range. The vbar and hbar statements work in a very similar way to vline and hline and can produce a wide range of bar plots, particularly when used with the group option as in the following example. proc format; value age2grp low-50='younger' 50<-high='older'; value $sex 'F'='Female' 'M'='Male'; run; proc sgplot data=bodycomp; vbar sex / response=pctfat stat=mean limitstat=stderr limits=upper group=age groupdisplay=cluster; format age age2grp.
When used in conjunction with some data processing very sophisticated plots can be produced. 5 Summary Plots Plots of summary statistics are often useful when comparing groups. Proc sgplot can produce plots of various summary statistics as a bar plot, line plot or dot plot. The plot statements are vbar / hbar and vline / hline, depending on whether vertical or horizontal orientation is desired, and dot. To illustrate this, the variable age in the bodycomp dataset is first recoded into ten-year bands.