By Brian S. Everitt
Because the first version of this publication used to be released, S-PLUS has advanced markedly with new tools of study, new graphical procedures, and a handy graphical person interface (GUI). at the present time, S-PLUS is the statistical software program of selection for plenty of utilized researchers in disciplines starting from finance to medication. Combining the command line language and GUI of S-PLUS now makes this booklet much more appropriate for green clients, scholars, and a person with out the time, endurance, or history had to plow through the numerous extra complicated manuals and texts out there.
The moment variation of A guide of Statistical Analyses utilizing S-Plus has been thoroughly revised to supply an excellent creation to the most recent model of this robust software program method. each one bankruptcy specializes in a specific statistical approach, applies it to 1 or extra facts units, and indicates how one can generate the proposed analyses and snap shots utilizing S-PLUS. the writer explains S-PLUS capabilities from either the Windows® and command-line views and obviously demonstrates how one can change among the 2.
This guide offers the right automobile for introducing the intriguing percentages S-PLUS, S-PLUS 2000, and S-PLUS 6 carry for information research. the entire information units utilized in the textual content, besides script records giving the command language utilized in each one bankruptcy, can be found for obtain from the net at http://www.iop.kcl.ac.uk/iop/Departments/BioComp/splus.shtml
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Extra resources for A handbook of statistical analyses using S-PLUS
Investigate what happens if the aov function is applied to the slimming data with the Status x Condition interaction listed before the main effects of the two factors. 1. The data give the values of six variables for 22 U S . fighter aircraft. The variables are as follows: FFD: First flight date, in months after January 1940 SPR Specific power, proportional to power per unit weight RGF: Flight range factor PLF: Payload as a fraction of gross weight of aircraft SLF: Sustained load factor CAR: A binary variable specifying whether the aircraft can or cannot land on a carrier Interest lies in modelling FFD as a function of the other variables.
It is often important to include information about the marginal distributions of each variable on a scatterplot of a pair of variables. A simple procedure for this is the use of the rug function in S-PLUS (with perhaps the jitter function as well). Investigate by producing a scatterplot of husband’s age against wife’s age showing the marginal distributions of each variable. Investigate the use of the density function in S-PLUS for enhancing histograms with a nonparametric estimate of the distribution of the variables.
Investigate the use of the density function in S-PLUS for enhancing histograms with a nonparametric estimate of the distribution of the variables. Additionally, examine the use of both the Graph menu and the 2D graphical palette for the same thing. Produce a scatterplot matrix of the variables in the husbands/wives data, with each panel the value of the correlation coefficient of the two variables shown. Use the chi-squared plotting technique for assessing multivariate normality described in the text to assess only the first four variables in the huswif data frame.
A handbook of statistical analyses using S-PLUS by Brian S. Everitt