search for: normx

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2018 Feb 27
2
scale.default gives an incorrect error message when is.numeric() fails on a sparse row matrix (dgeMatrix)
I am attempting to use the lars package with a sparse input feature matrix, but the following fails: library(Matrix) library(lars) data(diabetes) attach(diabetes) x = as(as.matrix(as.data.frame(x)), 'dgCMatrix') lars(x, y, intercept = FALSE) Error in scale.default(x, FALSE, normx) : > > length of 'scale' must equal the number of columns of 'x' > > More specifically, scale.default fails: normx = new( "dgeMatrix", x = c(1.00000000000004, 1, 1.00000000000009, 1.00000000000001, 1.00000000000001, 0.999999999999992, 1.0...
2018 Mar 01
0
scale.default gives an incorrect error message when is.numeric() fails on a dgeMatrix
...9;lars' ##UAagghh! not like this -- both attach() *and* as.data.frame() are horrific! ##UA attach(diabetes) ##UA x = as(as.matrix(as.data.frame(x)), 'dgCMatrix') x <- as(unclass(diabetes$x), "dgCMatrix") lars(x, y, intercept = FALSE) ## Error in scale.default(x, FALSE, normx) : ## length of 'scale' must equal the number of columns of 'x' ## More specifically, scale.default fails as called from lars(): normx <- new("dgeMatrix", x = c(4, 0, 9, 1, 1, -1, 4, -2, 6, 6)*1e-14, Dim = c(1L, 10L), Dimnames = list(NULL, c(&qu...
2011 Mar 11
3
Large dataset operations
...he code I have come up with: rows <- length(data$plateNo) reps <- 3 norm <- list() for (rep in 1:reps) { x <- paste("rep_",rep,sep="") normx <- paste("normalised_",rep,sep="") for (row in 1:rows) { plateMean <- mean(data[[x]][data$plateNo == data$plateNo[row]]) wellData <- data[[x]]...
2012 Feb 02
1
"shifted" bar chart / battleship curve
What I want to do is create a horizontal bar chart matrix for a set of data that have a common set of variables (e.g., % of As, % of Bs, etc.) listed on the Y-axis and groups (e.g., Classes) on the X-axis. The key here is that the bars for each individual class plot are "centered" rather than left or right-justified. In archaeology plots similar to this are called battleship curves or
2010 Dec 08
1
the output of function lars
...; "df" "lambda" "R2" [6] "RSS" "Cp" "actions" "entry" "Gamrat" [11] "arc.length" "Gram" "beta" "mu" "normx" [16] "meanx" I do not know what does RSS, arc.length, mu mean??? If mu means \hat{miu}, it does not seems to be right. I did not simulate my data with mean. besides I caculated R2 by myself but it cannot match the R2here I think R2=1-sum((y-x%*%lobj$beta)^2)/var(y)*19 #I h...
2009 Jul 19
1
trouble using optim for maximalisation of 2-parameter function
...expomx To optimize to two parameters you can't use "optimize", so I tried the following to test my input: > llik.nor<-function(x,theta){mu<-theta[1];sig<-theta[2];-length(x)*log(sqrt(2*pi))-length(x)*log(sig)-(1/(2*sig**2))*sum((x-mu)**2)} > x<-c(-1,4,6,4,2) > normx<-optim(c(1,20),llik.nor) the output should be close to parameters: mu=3 and sigma=2.366 [This I calculated by hand to compare with the output] but in stead of output I get an error: Error in fn(par, ...) : argument "theta" is missing, with no default I don't understand why this...