Download A handbook of statistical analyses using SAS by Geoff Der PDF
By Geoff Der
The authors coated many themes in utilized records, yet they did not point out whatever approximately time sequence research. i'm disillusioned after examining this ebook. the largest challenge with this publication is that it is overly simplistic - quite often just one approach 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 merely used very small datasets, which missed the most important energy of SAS, the power to address huge datasets. The authors additionally revealed all uncooked datasets within the ebook, which took rather a lot of space.
The authors may still learn Venables and Ripley's glossy utilized statistics with SPlus first. Venables/Ripley made a good instance on how one can write an utilized data e-book utilizing a particular software program.
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Extra resources for A handbook of statistical analyses using SAS
Some town names contain spaces, which would make list input complicated. The univariate procedure can be used to examine the distributions of numeric variables. 3: proc univariate data=water normal; var mortal hardness; histogram mortal hardness /normal; probplot mortal hardness; run; The normal option on the proc statement results in a test for the normality of the variables (see below). The var statement specifies which variable(s) are to be included. If the var statement is omitted, the default is all the numeric variables in the data set.
5. 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.
Data water; set water; lhardnes=log(hardness); proc ttest; class location; var mortal hardness lhardnes; proc npar1way wilcoxon; class location; var hardness; run; The short data step computes the (natural) log of hardness and stores it in the data set as the variable lhardnes. To use proc ttest, the variable that divides the data into two groups is specified in the class statement and the variable (or variables) whose means are to be compared are specified in the var statement. For a Wilcoxon test, the npar1way procedure is used with the wilcoxon option.