By Geoff Der, Brian S. Everitt
Easily Use SAS to supply Your Graphics
Diagrams, plots, and different kinds of snap shots are quintessential elements in approximately all levels of statistical research, from the preliminary evaluation of the knowledge to the choice of acceptable statistical versions to the prognosis of the selected types when they were suited for the knowledge. Harnessing the total pix functions of SAS, A guide of Statistical portraits utilizing SAS ODS covers crucial graphical tools wanted in each statistician’s toolkit. It explains find out how to enforce the tools utilizing SAS 9.4.
The instruction manual exhibits tips to use SAS to create many varieties of statistical pics for exploring info and diagnosing equipped types. It makes use of SAS’s more recent ODS photographs all through as the program deals a number of benefits, together with ease of use, prime quality of effects, constant visual appeal, and handy semiautomatic graphs from the statistical techniques.
Each bankruptcy bargains graphically with numerous units of instance facts from a large choice of components, equivalent to epidemiology, medication, and psychology. those examples illustrate using picture monitors to provide an outline of information, to indicate attainable hypotheses for checking out new info, and to interpret geared up statistical versions. The SAS courses and knowledge units can be found online.
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Additional info for A handbook of statistical graphics using SAS ODS
6 Dot plot for infant mortality data. 7 Ordered bar chart for the infant mortality data. 1 Forearm Lengths To investigate the distribution of these measurements we might begin by constructing a histogram in which the data have been grouped into a number of intervals of forearm length, and the number or frequency of observations in each interval is represented by the height of a rectangle positioned on the appropriate interval and with width equal to the width of the interval. 8. 8 Histogram of forearm lengths.
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.
Without these options the statement will result in a plot of the frequency count within each decade. The options used here specify a response variable, p ctfat, whose summary values will provide the y axis. The stat= option specifies the mean as the summary statistic; other possibilities are freq, median, percent and sum. Limits of one standard deviation are also to be drawn on the plot (limitstat=stddev); the other possibilities are clm for confidence limits and stderr for standard errors. When the limitstat value is stddev or stderr, the numstd= option can be used to specify the number of standard deviations or standard An Introduction to ODS Graphics ◾ 25 errors to be plotted.
A handbook of statistical graphics using SAS ODS by Geoff Der, Brian S. Everitt