similar to: Arules: R Crashes when running eclat with tidLists=TRUE

I have a data in the following form : CIN TRN_TYP 9079954 1 9079954 2 9079954 3 9079954 4 9079954 5 9079954 4 9079954 5 9079954 6 9079954 7 9079954 8 9079954 9 9079954 9 . . . . . . there are 100 types of CIN (9079954,12441087,15246633,...) and respective TRN_TYP first of all, I want this data to be

Dear Collegues, it seems like there is a problem with the image()-method in the package arules. Using an ordninary matrix works fine: image(matrix(rnorm(200), 10, 20), axes = FALSE, col=brewer.pal(9, "Blues") ) delivers an image with blue colors and no axes. Using an object of the class "associations" (arules package) does not work: image(items(ta.eclat), axes = FALSE,

--- include/share/alloc.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/include/share/alloc.h b/include/share/alloc.h index 914de9ba..63878db0 100644 --- a/include/share/alloc.h +++ b/include/share/alloc.h @@ -168,7 +168,7 @@ static inline void *safe_realloc_add_2op_(void *ptr, size_t size1, size_t size2) free(ptr); return 0; } - return realloc(ptr, size2); + return

Dear R experts, I am trying to arrange multiple plots, creating one graph for each size1 factor variable in my data frame, and each plot has the median price on the y-axis and the size2 on the x-axis grouped by clarity: library(ggplot2) df <- data.frame(price=matrix(sample(1:1000, 100, replace = TRUE), ncol = 1)) df$size1 = 1:nrow(df) df$size1 = cut(df$size1, breaks=11)

Hi, I would like to get from a plot the size of the symbols plotted. Imagine I have the following plot function : plot(1:2,1:2, pch=15, cex=4) I would like the get the values SIZE1 and SIZE2 so that if I plot the following rectangle : rect(1.5,1.5, 1.5+SIZE1, 1.5+SIZE2) then the size of this square is exactely the same as the one of the symbols that have been plotted. Thanks for any idea. --

hi, there: I have a question on use of arules package: suppose i have a classification problem with class id = 1 or 0. i put predictors and class ids together and tranform all of them into binary thus i got a binary matrix. When I build the rules from it, I subset the rules to 2 by defining rhs %in% "classid = 1" or "2". (Actually i can build rules from two seperate datasets

Hi All, I use arules library, and try to create an association rules for this transaction file: a,c,f,3,4,5 b,e,1,2,4 a,c,e,f,1,3,4,5 d,5 b,c,e,f,1,2,3,4 a,c,e,f,1,3,4,5 b,c,e,f,1,3,4 b,e,1,2,4 a,c,e,f,1,3,4,5 a,b,c,e,f,1,3,4 a,c,d,f,3,4,5 I want to get the rule such: {c,e,f}=> {3,4,5} I used this command: ar=apriori(tr, parameter=list(support=.4, confidence=0.8, maxlen=11), appearance

Hi to all members, i have a question about class inheritance and methods using R.oo package: I have the following code and it doesn't work, guess i'm doing smth wrong and there is nothing in the help. library(R.oo) setConstructorS3("ClassA", function(A=15) { extend(Object(), "ClassA", .size = A ); }) setMethodS3("print", "ClassA",

I'm looking at an issue reported by the Coverity static analyzer. In iconvert() in src/share/utf8/iconvert.c on line 152 there is newbuf = safe_realloc_add_2op_(utfbuf, ...); If the request size is not valid, the function will free utfbuf and return 0. This is followed by goto fail and utfbuf is freed for the second time. A simply fix would be to set utfbuf to 0 if newbuf is 0. However, this

Hi, I'm wrestling with an analysis of a dataset, which I previously analyzed in SYSTAT, but am now converting to R and was doing a re-analysis. I noticed, however, that the same model yields different results (different sums of squares) from the two programs. I first thought this might be because the two programs use different calculations to get the sums of squares, but the problem

Here is our proposal to extend/enhance the x86-64 compact unwind descriptors to fully describe the prologue/epilogue for asynchronous unwinding.  I believe there are missing/lacking CFI directives as well, but I'll save that for another thread. Asynchronous Compact Unwind Descriptors Ron Brender, VMS Software, Inc. Revised January 25, 2018 1  Introduction This document proposes means to

Hi Nick, It is a pleasure to be in contact with the creator of the compact unwind approach! I can see how an array of 32-bit unwind blocks could be used to describe each distinct point within a function (within a prolog in particular). But then you end up with six or seven or more such blocks for a large percentage of functions, don't you? Seems like a lot of additional space for something

Dear R-er, For a non-linear optimisation, I used optim() with BFGS method but it stopped regularly before to reach a true mimimum. It was not a problem with limit of iterations, just a local minimum. I was able sometimes to reach better minimum using several rounds of optim(). Then I moved to optimx() to do the different optim rounds automatically using "Nelder-Mead" and

John and Ron, I developed the original compact unwind implementation for macOS 10.6 back in 2009. I tried to leave space in the design to support finer grain exception handling such as for asynchronous or for the shrink wrap optimization. The idea I had at the time was instead of having just one 32-bit compact unwind info per function, there could be an array of them each covering a different

fb_do_apertures_overlap is returning wrong value when one aperture is completely whithin the other. Add generic ranges_overlap macro (probably kernel.h candidate) and use it here. Signed-off-by: Marcin Slusarz <marcin.slusarz at gmail.com> Cc: Dave Airlie <airlied at redhat.com> Cc: Peter Jones <pjones at redhat.com> Cc: Andrew Morton <akpm at linux-foundation.org> ---

i'm using the following c++ code using namespace std; #include <iostream> #include <stdio.h> #include <opencv/cv.h> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv/highgui.h> #include <opencv/cv.h> #include <R.h> #include <Rinternals.h> #include <Rmath.h> extern "C" { SEXP

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Hello, I had some difficulties compiling the current git ( http://git.xiph.org/?p=flac.git;a=commit;h=a7e3705d051bafd1cae90f6605287cc1d9f2a18d ) using the Ubuntu 12.04 supplied MinGW32 cross compiler: I configured the FLAC build with --host=i586-mingw32msvc --target=i586-mingw32msvc --build=i586-linux but ran into several linker problems. Are these options somehow wrong? It worked fine when

Dear R listers -- The program below does the following tasks: 1. It creates a file (wintemp4) that is a subset of alldata4 consisting of "winner" records in 50 industry groups (about 5400 obs); 2. It defines a function (myppr1) that runs the ppr function in modreg once to generate goodness of fit (sum of squared errors) measures by number of terms included in model and then reruns

When the shape of all vertices is set to "square" and the size of the vertices is also set, one get following error (commands attached): Error in l[[which.min(sapply(l, function(p) (p[1] - x0)^2 + (p[2] - y0)^2))]] : attempt to select less than one element Is there a way to solve this problem? Robbie ## Load the igraph package library(igraph) ## Create and plot a small graph