By Geoff Der, Brian S. Everitt

*Easily Use SAS to supply Your Graphics*

Diagrams, plots, and different varieties of pics are essential elements in approximately all stages of statistical research, from the preliminary evaluate of the information to the choice of applicable statistical types to the prognosis of the selected versions when they were suited for the information. Harnessing the complete photographs functions of SAS, **A instruction manual of Statistical pics utilizing SAS ODS** covers crucial graphical equipment wanted in each statistician’s toolkit. It explains tips on how to enforce the tools utilizing SAS 9.4.

The instruction manual indicates how you can use SAS to create many sorts of statistical photos for exploring information and diagnosing geared up versions. It makes use of SAS’s more recent ODS pix all through as the program bargains a number of benefits, together with ease of use, prime quality of effects, constant visual appeal, and handy semiautomatic graphs from the statistical tactics.

Each bankruptcy bargains graphically with numerous units of instance facts from a wide selection of parts, resembling epidemiology, drugs, and psychology. those examples illustrate using photograph monitors to offer an summary of knowledge, to signify attainable hypotheses for checking out new information, and to interpret outfitted statistical versions. The SAS courses and knowledge units can be found online.

**Read Online or Download A handbook of statistical graphics using SAS ODS PDF**

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**Additional info for A handbook of statistical graphics using SAS ODS**

**Sample text**

An example would be compare x=(sepallength sepalwidth) y=(petallength petalwidth) / group=species; When compare is used row and column axes are shared. 8 Scatterplot matrix of measurements on two species of iris. An Introduction to ODS Graphics ◾ 31 The third way is via a plot statement whereby xy pairs are specified in the form y*x and again multiple variables can be enclosed in parentheses. For example: plot sepallength*sepalwidth petallength*petalwidth / group=species; In contrast to the compare statement each plot has its own set of axes and the plots can be completely independent.

9 Histogram of forearm lengths and fitted normal distribution. 10 Normal probability plot of the forearm length data. 10; there is little deviation from linearity confirming that the distribution of forearm lengths is very likely normal. So a normal distribution appears suitable for the forearm data and proc univariate can also produce histograms and fit a number of other parametric distributions to these including: beta, gamma, exponential, lognormal and Weibull distributions. 52 ◾ A Handbook of Statistical Graphics Using SAS ODS But for many datasets it may be necessary to estimate the probability density function of a variable without assuming a particular parametric form.

10. The name of the graphics file and some properties of the graph appear in the title. Many of the menu items and buttons are standard to Windows. Hovering the cursor over the buttons will give a hint as to their use. Those in the second row, reading from right to left are to insert: a marker, an image, an ellipse, a rectangle, an arrow, a line, a piece of text. 10 we have inserted an arrow, some text and an ellipse. Clicking on an axis label allows the text to be reformatted, while double clicking allows the text itself to be changed.