By Brian S. Everitt
Because the first variation of this publication was once released, S-PLUS has developed markedly with new equipment 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 lots of utilized researchers in disciplines starting from finance to drugs. Combining the command line language and GUI of S-PLUS now makes this e-book much more compatible for green clients, scholars, and an individual with out the time, persistence, or history had to struggle through the various extra complicated manuals and texts out there.
The moment variation of A instruction manual of Statistical Analyses utilizing S-Plus has been thoroughly revised to supply a superb creation to the most recent model of this robust software program procedure. every one bankruptcy specializes in a specific statistical approach, applies it to 1 or extra facts units, and exhibits how you can generate the proposed analyses and portraits utilizing S-PLUS. the writer explains S-PLUS features from either the Windows® and command-line views and obviously demonstrates tips on how to swap among the 2.
This instruction manual offers the fitting car for introducing the intriguing probabilities S-PLUS, S-PLUS 2000, and S-PLUS 6 carry for info research. the entire information units utilized in the textual content, in addition to 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
Read or Download A Handbook of Statistical Analyses using S-Plus PDF
Similar mathematical & statistical books
The GLM method makes use of the strategy of least squares to slot basic linear types. one of the statistical tools to be had in PROC GLM are regression, research of variance, research of covariance, multivariate research of variance, and partial correlation.
As either a hugely readable educational and a definitive reference for over one million Mathematica clients around the globe, this e-book covers each element of Mathematica. it's a vital source for all clients of Mathematica from novices to specialists. This increased 5th variation provides Mathematica model five for the 1st time and is critical for somebody drawn to the growth of complex computing.
Montgomery, Runger, and Hubele's Engineering information, fifth variation presents sleek insurance of engineering records by way of concentrating on how statistical instruments are built-in into the engineering problem-solving process. All significant features of engineering records are lined, together with descriptive records, likelihood and likelihood distributions, statistical try out and self assurance durations for one and samples, construction regression versions, designing and interpreting engineering experiments, and statistical strategy keep an eye on.
This e-book represents an integration of thought, tools, and examples utilizing the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the perform of economic econometrics. it's the first ebook to teach the ability of S-PLUS for the research of time sequence facts. it really is written for researchers and practitioners within the finance undefined, educational researchers in economics and finance, and complicated MBA and graduate scholars in economics and finance.
Extra resources for A Handbook of Statistical Analyses using S-Plus
4. 5. 6. 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.
This gives relatively clear evidence that the data do not have a multivariate normal distribution, which may have implications for particular types of analysis that may be considered for the data. 6 frame. 1. 2. 3. 4. 5. 6. 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.
What do these fitted values correspond to in terms of Poison and Treatment means? 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.
A Handbook of Statistical Analyses using S-Plus by Brian S. Everitt