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By Der, Geoff; Everitt, Brian S
Advent to SAS creation consumer Interface SAS Language interpreting Data-The facts Step editing SAS facts Proc Step worldwide Statements SAS photos ODS-The Output supply approach improving Output a few counsel for fighting and Correcting error info Description and easy Inference: Mortality and Water Hardness within the uk creation tools of study research utilizing SAS basic Inference for Categorical facts: From Sandflies to natural Particulates within the Air creation tools of research research utilizing SAS research of Variance I: Treating Hypert. Read more...
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Extra resources for A Handbook of Statistical Analyses using SAS, Third Edition
2008 9:41pm Compositor Name: VBalamugundan & 32 A Handbook of Statistical Analyses Using SAS proc sgplot data ¼ bodyfat; vline decade=response ¼ pctfat stat ¼ mean limitstat ¼ stddev; run; Another useful summary plot is the boxplot, described in Chapter 2, which can be produced with the vbox=hbox statement as follows: proc sgplot data ¼ bodyfat; vbox pctfat=category ¼ sex; run; There is also a specific procedure, boxplot, which offers more options. 3 Panel Plots Proc sgpanel and proc sgscatter both produce multiple plots contained within a grid of related panels.
The quantiles give information about the tails of the distribution as well as the five number summaries for each variable. These summaries consist of the minimum value, lower quartile, median, upper quartile and maximum value of a variable. The box plots that can be constructed from these summaries are often very useful in comparing distributions and identifying outliers. 6). The listing of extreme values can be useful for identifying outliers, especially when used with an id statement. 2 indicate that mortality is symmetrically, approximately normally, distributed.
Where the data values are separated by spaces, as they are here, a simple form of the input statement is possible in which the variable names are merely listed in order and character variables are indicated by a dollar sign after their names. This is the so called ‘‘list’’ form of input. SAS has three main modes of input: 1. List – for data separated by spaces 2. Column – for data arranged in columns 3. Formatted – for data in non-standard formats There is a fourth form – named input – but data suitable for this form of input occur so rarely that its description can safely be omitted.