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this site About Us Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up https://www.nuskin.com/en_US/shop/error.html R Cran ldei: error in svd(V2, nu = 0, nv = unsolvable) : a dimension is zero up vote 2 down vote favorite I am quite new to R-Cran. I would like to solve a linear inverse model with constrains. I am using the ldei-function in the limSolve package. Here are my linear system and constrains: A x X = C G x X http://stackoverflow.com/questions/35650654/r-cran-ldei-error-in-svdv2-nu-0-nv-unsolvable-a-dimension-is-zero >=H, with G=I and H=0. (Basically: X>=0) where: A in a 2x2 matrix; X (nrow=2, ncol=n) is the unknown-vector-(matrix); C (nrow=2, ncol=n) is the constant-known vector-(matrix). The matrix G is the identity matrix and H is a vector-(matrix) with zero values. The constrain X>=0 needs to be satisfied as X represents concentrations of nitrogen dioxide and ozone in outdoor air, and they cannot be negative. Here is my r-code, I assume n=10: library(limSolve) A <- matrix(data = NA, nrow=2,ncol=2) A[1,c(1:2)] <- c(-3.956946e-05,-1.558643e-05) A[2,c(1:2)] <- c(-8.785099e-05, 1.540414e-04) ctmp1 <- c(-3.000286e-04,-0.0003545647,-0.0002958569,-0.000356863,-0.0003602479,-0.0004177914,-0.0004280350,-0.0003890670,-0.0004984785,-0.0005695379) ctmp2 <- c(-6.462205e-05,-0.0007740174,-0.0006427914,-0.001056369,-0.0009569179,-0.0008562010,-0.0005402486,-0.0005043381,-0.0006366220,-0.0009332219) inC <- rbind(ctmp1,ctmp2) C <- matrix(data=inC, nrow=2, ncol=10) G <- matrix(ncol=2,nrow=2,data= c(1,0,0,1)) inH <- rbind(rep(0., length.out=10),rep(0., length.out=10)) H <- matrix(data=inH, nrow=2, ncol=10) # I am aware I need to use the apply-family instead of do loops-- this is my work in progress--.. for (i in 1:10){ print(i) E <- A FF <- c(C[1,i],C[2,i]) GG <- G HH <- H[,i] res <-ldei(E,FF,GG,HH) print(res$X) } ### Here the output: [1] 1 [1] 6.326385 3.188475 [1] 2 [1] 8.93305028 0.06985077 [1] 3 [1] 7.44753875 0.07454004 [1] 4 Error in svd(V2, nu = 0, nv = unsolvable) : a d
von GoogleAnmeldenAusgeblendete FelderBooksbooks.google.de - Mathematica's diverse capabilities make it particularly well suited to perform the many calculations encountered in statistics. This book introduces Mathematica for various types https://books.google.com/books?id=k3rkxOURuOMC&pg=PA390&lpg=PA390&dq=error+nu&source=bl&ots=nEPAvB1OQS&sig=JdlaQ-gSEmZwyB2u7LhtzIZ9FR0&hl=en&sa=X&ved=0ahUKEwjC_Keg2M_PAhXE6YMKHeyBAUEQ6AEINjAE of statistical computations. It covers a broad range of topics, and should appeal to both students and professional statisticians....https://books.google.de/books/about/Statistics_with_Mathematica.html?hl=de&id=k3rkxOURuOMC&utm_source=gb-gplus-shareStatistics with MathematicaMeine BücherHilfeErweiterte BuchsucheDruckversionKein E-Book verfügbarAccess Online via ElsevierAmazon.deBuch.deBuchkatalog.deLibri.deWeltbild.deIn Bücherei suchenAlle Händler»Stöbere bei Google Play nach Büchern.Stöbere im größten eBookstore der Welt und lies noch heute im Web, auf deinem Tablet, Telefon syntax error oder E-Reader.Weiter zu Google Play »Statistics with MathematicaMartha L. Abell, James P. Braselton, John Arthur RafterAcademic Press, 1999 - 632 Seiten 1 Rezensionhttps://books.google.de/books/about/Statistics_with_Mathematica.html?hl=de&id=k3rkxOURuOMCMathematica's diverse capabilities make it particularly well suited to perform the many calculations encountered in statistics. This book introduces Mathematica for various types of statistical computations. It covers a broad syntax error p3 range of topics, and should appeal to both students and professional statisticians. Key Features * Comprehensive: Covers the use of Mathematica for applications ranging from descriptive statistics, through multiple regression and nonparametric methods; uses virtually all of Mathematica's built-in statistical commands, as well as those contained in various Mathematica packages; Additionally, the authors have written numerous procedures to extend Mathematica's capabilities, which are also included on the CD-ROM * Easy to read: Uses "by example" approach authors have used in several other books about Mathematica: works for beginners and experts alike * Applied: Examples from diverse disciplines, including biostatistics, business, statistics, econometrics, engineering, and psychology * Up-to-date: Compatible with Mathematica Version 3 * Includes CD-ROM: with all Mathematica inputs from text and also numerous procedures to extend Mathematica's built-in, statistical capabilities Voransicht des Buches » Was andere dazu sagen-Rezension schreibenEs wurden keine Rezensionen gefunden.Ausgewählte SeitenTitelseiteIndexVerweiseInhaltData and Data File Manipulation with Mathematica1 Mathema