By Luke Tierney
Written for the pro statistician or graduate data scholar, the first aim of this e-book is to explain a approach, in accordance with the LISP language, for statistical computing and dynamic pictures to teach the way it can be utilized as a good platform for quite a lot of statistical computing initiatives starting from easy calculations to customizing dynamic graphs. additionally, it introduces object-oriented programming and images programming in a statistical context. The dialogue of those principles is predicated at the Lisp-Stat method; readers with entry to this kind of method can reproduce the examples provided and use them as a foundation for additional experimentation and learn.
Read or Download LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics (Wiley Series in Probability and Statistics) PDF
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Additional info for LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics (Wiley Series in Probability and Statistics)
We can use the expressions (def x (select mydaca 0 ) ) and (def y (select mydata 1)) The second argument to read-data-columns is optional. If it is not supplied, the number of columns is determined from the number of entries on the first nonblank line of the file. On some systems the file name argument may be optional as well. If it( is omitted, a dialog for selecting the file to read is presented. If your data file is not arranged in columns, you can use read-data-file to read in the entire contents of a file and return it as a single list.
In the plot of abrasion-loss against tensile-strength you can see that the highlighted points seein to follow a curve. If you want to fit a model 44 CHAPTER 2. 8 Yield 5 i O O O C O O O C 4 Density I - Variety + +-*a ,.... 11: Scattcrplot matrix for the tomato yieid data with points from the third variety highlighted. to these data, this observat,ion suggests fitting a model that accounts for this curvature. This is similar to the conclusion reached from looking at a rotating plot of these data.
1 0 Pitch 0 0 Roll \z- . + : . X -. 7 A rotatable plot. of the abrasion loss data. 7. The argument to spin-plot is a list of three lists or vectors, representing the L, y. and z variables. The z axis initially points out of the screen. You can rotate the plot by placing the mouse cursor in one of the Pitch, Roll, or Yan squares and pressing the m o w button. By rotating the plot, you can see that the points seem to fall close to a plane. 39 -q-J Spinning Plot x . ~ 0 0 Pitch 0 0 Roll I I ..
LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics (Wiley Series in Probability and Statistics) by Luke Tierney