author: Andrzej Dudek Data Analysis in R Environment Notes for Students:


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1 Data Analysis in R Environment Notes for Students:. R program can be obtained at GPL (free) licence from: R Studio can be downloaded from 2. Main condition for passing this course is preparation of project in one of the fields: Cluster analysis, multidimensional scaling, Factor analysis, Linear ranging, Decision trees, Neural networks 3. Projects can be developed separately or in (max) two person groups 4. One student (group) should prepare at least one project, but for better notes You could prepare more (max three) 5. Each project should contain minimum three parts a) data in csv format b) R language scripts (in.r format) c) Short description of used data and achieved goals in *.doc, *.odt or *.pdf format 6. The deadline for project preparing and sending to teacher is: January 5 th Please sign sent project(s) with first name and surname (not only address) 8. Mails with preliminary acceptance of projects will be send within seven days 9. Main language for labs is English (aber ich verstehe etwas Deutsch, und wir können über einfache Dinge zu sprechen) 0. Additional materials/help files for course will be available at My address is My handy nr is: (emergency only use with care:) References: [] Dennis B.(202) The R Student Companion. Chapman & Hall/CRC Press, Boca Raton, FL, 202. ISBN [2] Walesiak M., Gatnar E. (red.) (2009), Statystyczna analiza danych z wykorzystaniem programu R, PWN, Warszawa. [3] Gatnar E., Walesiak M. (red.) (20), Analiza danych jakościowych i symbolicznych z wykorzystaniem programu R, C.H. Beck, Warszawa. [4] R Development Core Team (202), R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, URL [5] Walesiak M., Dudek A. (202), clustersim package, URL Preliminary schedule (2 version 6 hours): R Environment, data visualisation Cluster Analysis Multidimensional scaling, Factor analysis (3 hours to 7. 5 ) Linear Ranging Decision trees Neural Networks Own work finishing of projects (3 hours to 7. 5 )
2 Editor command lines persists and every time can by executed by selecting lines and clicking run (ctrl+r) Environment variables in workspace, data import Command line command is executed then vanishes (but you can go back by history tab or by arrow up, arrow down) Utilities (installed libraries, chart plots, help)
3 Calculate 2+2 Calculate 7 /4 Calculate the reminder 345 / Calculate the 345 / as integer Calculate 45 squared Calculate third degree root of 343 (hint nth degree root from a is Print numbers from to 20 Print numbers from 5 do 9 Print even numbers from 2 do 22 Insert matrix : Calculate determinant, transposed matrix, inverse matrix Load package clustersim Display help on function cluster.gen Search in the Help system on everything relating to the method of kmeans (kmeans) Solve the systems of equations a n ) x y +5z = 4x +3y 2z = 4x +2z = 8 3x 4z = 0 5x 5 +z = 243x +4y 2z = 6 Insert matrix
4 x ij author: Andrzej Dudek Calculate sum of elements in third column, mean of elements in second row, maximal values for each column In sheets matrix and matrix2 of do_r.xls workbook are matrix to be multiply. Save worksheets as csv files. Import data into R. Make a multiplication. The result save in csv file (write.table (..., sep = ""; ", dec =", ")). Place the results in the spreadsheet Excel workbook result. EXAMPLE The main type of graph in the environment R is a scatter plot of the data metric (quotient or interval) using the plot function. This example shows the possibility of obtaining a multipart diagram mfrow using a parameter, which made the different types of charts or line created regression (function lm).first read Dane_3_.csv file x < Dane_3_ attach(x) # Utworzenie obszaru dla czterech rysunków par(mfrow=c(2,2), pty="s") # Wykres rozrzutu z punktami plot(x4, x5, lwd=2) title("a)", font.main=) # Wykres rozrzutu z punktami i linią regresji plot(x4, x5, lwd=2) abline(lm(x5~x4), lwd=2) title("b)", font.main=) # Wykres rozrzutu z punktami i numerami obiektów plot(x4, x5,lwd=2) text(x4, x5, pos=) title("c)", font.main=) # Wykres rozrzutu z liniami pionowymi plot(x4, x5, type="h", lwd=2) title("d)", font.main=) detach(x) Generate a set consisting of three classes of measures in (0.2); (2,2), (22) and the matrix the variance / covariance matrix. View this collection, so that each class was painted a different color (clustersim, plot) For the preparation of graphs of mathematical functions is substantially a function curve (see. a) to c)), although it is possible to apply the function plot (see. E.g. d)). options(outdec =",") 2
5 # Funkcja sin(x) i ln(x) na jednym rysunku curve(sin(x), col="red", xlim=c(0,4*pi), ylim=c(,log(4*pi)), ylab="sin(x) i ln(x)") curve(log(x), col="blue", add=true, xlim=c(0,4*pi), ylab="sin(x) i ln(x)") title("a)", font.main=) # Funkcja sqrt(x*(x)) curve(sqrt(x*(x)), 0,, ylab=expression(sqrt(x(x)))) title("b)", font.main=) # Funkcja potęgowa curve(2*x^0.4, ylab=expression(2*x^0.4), 0, 4) title("c)", font.main=) # Wykres y=/x z wykorzystaniem funkcji plot x < seq(0,, 0.0) y < /x plot(x, y, type="l") text(0.2, 40, labels="y=/x") title("d)", font.main=) Create graph (chart) of function x^33x^2+ in interval <5,7> 3
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