By Geoff Der
The authors coated many themes in utilized records, yet they did not point out something approximately time sequence research. i'm upset after examining this booklet. the most important challenge with this ebook is that it is overly simplistic - often just one process is illustrated for every subject - for instance, in cluster research, basically hierarchical clustering used to be pointed out and there has been not anything approximately partitional set of rules. The authors in simple terms used very small datasets, which neglected the largest energy of SAS, the power to address huge datasets. The authors additionally revealed all uncooked datasets within the ebook, which took quite a lot of space.
The authors should still learn Venables and Ripley's smooth utilized statistics with SPlus first. Venables/Ripley made a superb instance on how one can write an utilized information e-book utilizing a particular software program.
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Additional info for A handbook of statistical analyses using SAS
9 SAS Graphics If the SAS/GRAPH module has been licensed, several of the statistical procedures can produce high-resolution graphics. Where the procedure does not have graphical capabilities built in, or different types of graphs are required, the general-purpose graphical procedures within SAS/GRAPH may be used. The most important of these is the gplot procedure. 1 Proc gplot The simplest use of proc gplot is to produce a scatterplot of two variables, x and y for example. 1 of SAS onwards. ©2002 CRC Press LLC A wide range of variations on this basic form of plot can be produced by varying the plot statement and using one or more symbol statements.
3 Viewing and Printing Graphics For any program that produces graphics, we recommend beginning the program with goptions reset=all; and then setting all the options required explicitly. Under Microsoft Windows, a suitable set of graphics options might be: goptions device=win target=winprtm rotate=landscape ftext=swiss; The device=win option specifies that the graphics are to be previewed on the screen. The target=winprtm option specifies that the hardcopy is to be produced on a monochrome printer set up in Windows, which can be configured from the File, Print Setup menu in SAS.
6 Rerun proc univariate with the plot option for line printer plots. Generate box plots of mortality and water hardness by location (use proc boxplot). Use proc univariate to compare the distribution of water hardness to the log normal and exponential distributions. Produce histograms of both mortality and water hardness with, in each case, a kernel density estimate of the variable’s distribution superimposed. Produce separate perspective plots of the estimated bivariate densities of northern and southern towns.
A handbook of statistical analyses using SAS by Geoff Der