similar to: Time and space considerations in using predict.glm.

Hello, I am using R to train a logistic regression model and save the resulting model to disk. I am then subsequently reloading these saved objects, and using predict.glm on them in order to make predictions about single-row data frames that are generated in real-time from requests arriving at an HTTP server. The following code demonstrates the sort of R calls that I have in mind: > cases

Hi, I'm trying to build dendrograms to pass to heatmap(). The dendrograms I build plot properly, but when I pass them to heatmap() I get the error message "row dendrogram ordering gave index of wrong length" (see output log below). I looked in the code of heatmap() and saw that the error was due to a NULL return value from order.dendrogram(), which in turn got a NULL return value

I have fitted a logistic regression model > failed.lr2$call lrm(formula = failed ~ Age + task2 + Age:task2, data = time.long, na.action = na.omit) using the Design package functions and would like to generate a nomogram from this model. the datadist information is generated and stored in > ddist time.long$Age time.long$task2 Low:effect 45

hello folks, Im trying to clean out a large file with data i dont need. The column im manipulating in the file is called "legal_status" There are three kinds of rows i want to remove. Those that have "Private", "Private (Op", or "Unknown" in the legal_status column. I wrote this code but i get errors and it says im missing a TRUE/ False thingy...im

Hello, I have been having difficulty getting boxplot to give the output I want - probably a result of the way I have been handling the data. The data is arranged in columns: each date has two sets of data. The number of data points varies with the date, so each column is of different length. I want to get a series of boxplots with the date along the x-axis, with alternating colors, so that it

Nelly Reduan a partag? un fichier OneDrive avec vous. Pour l?afficher, cliquez sur le lien ci-dessous. <https://1drv.ms/u/s!Apkg2VlgfYyDgRAeVIM0nEajx0Fb> [https://r1.res.office365.com/owa/prem/images/dc-png_20.png]<https://1drv.ms/u/s!Apkg2VlgfYyDgRAeVIM0nEajx0Fb> Screenshot 2017-11-12 18.49.43.png<https://1drv.ms/u/s!Apkg2VlgfYyDgRAeVIM0nEajx0Fb> Hello How can I perform

Hi , I have an issue during LTO phase of llvm compiler which is as follows, File t3.c --------- #include <stdio.h> #include <stdlib.h> // A linked list node struct Node { int data; struct Node* next; struct Node* prev; }; struct Node* head; /* Given a reference (pointer to pointer) to the head of a list and an int, inserts a new node on the front of the list. */

Looks like this is indeed related to r360841. In C, there are distinctions between declarations, definitions and tentative definitions. Global variables declared with "extern" are declarations. Global variables that don't have "extern" and have initializers are definitions. If global variables have neither "extern" nor initializers, they are called tentative

Dear List, With regard to the question I previously raised, here is the result I obtained right now, brglm() does help, but there are two situations: 1) Classifiers with extremely high AIC (over 200), no perfect separation, coefficients converge. in this case, using brglm() does help! It stabilize the AIC, and the classification power is better. Code and output: (need to install package:

Hi, I run R 2.10.1 under ubuntu 10.04 LTS (Lucid Lynx) and klaR version 0.6-4. I compute a model over a 2 classes dataset (composed of 700 examples). To that aim, I use the function NaiveBayes provided in the package klaR. When I then use the prediction function : predict(my_model, new_data). I get the following warning : "In FUN(1:747[[747L]], ...) : Numerical 0 probability with

Hi Teresa, Can you please let me know if there is any update on this issue. Thanks M Suresh From: Teresa Johnson <tejohnson at google.com> Sent: Tuesday, June 11, 2019 7:23 PM To: Rui Ueyama <ruiu at google.com> Cc: Mani, Suresh <Suresh.Mani at amd.com>; llvm-dev <llvm-dev at lists.llvm.org> Subject: Re: [llvm-dev] Expected behavior of lld during LTO for global symbols

https://bugzilla.samba.org/show_bug.cgi?id=11027 Bug ID: 11027 Summary: Sticky bit not set when using --chmod=D+t alone, without --perms Product: rsync Version: 3.0.9 Hardware: All OS: All Status: NEW Severity: normal Priority: P5 Component: core Assignee:

Thanks for the info Teresa, Regards M Suresh From: Teresa Johnson <tejohnson at google.com> Sent: Thursday, June 20, 2019 7:15 PM To: Mani, Suresh <Suresh.Mani at amd.com> Cc: Rui Ueyama <ruiu at google.com>; llvm-dev <llvm-dev at lists.llvm.org> Subject: Re: [llvm-dev] Expected behavior of lld during LTO for global symbols (Attr Internal/Common) [CAUTION: External

Hemant We''ve continued testing our application with backgroundrb and found a couple of other problems when transfering large amounts of data. Both of these problems are still present in the github version of code. The first problem is an exception in the Marshal.load call in the receive_data method in the Packet::MetaPimp class. The root cause is in the BinParser module, in the arm of

Hi, I have been examining large data and need to do simple linear regression with the data which is grouped based on the values of a particular attribute. For instance, consider three columns : ID, x, y, and I need to regress x on y for each distinct value of ID. Specifically, for the set of data corresponding to each of the 4 values of ID (76,111,121,168) in the below data, I should invoke

Hi All, This might be simple question, I need to retrive data for modelling from the databases. Eveytime date values changes so I countnot fix date value in the code, it is required to pass as parameter. When I pass the date as parameter, it throws error. (ERROR: column "start_dt" does not exist Position: 285) My script is as below, please guide me where am I going wrong? All parameters

The direct cause of this issue is that, previously lld converted common symbols to defined symbols before passing input files to LTO, and after r360841 they are passed as common symbols to LTO. Making lld to work as before is easy, as we can convert common symbols to defined symbols as before. Here is a patch to do that, and I confirmed that that restores the original behavior for the reported

Hello I am playing around trying to bootstrap an svm model using a training set and a test set. I've written another function, auc, which I call here, and am bootstrapping. I did this successfully with logistic regression, but I am getting an error from the starred ** line which I determined with print statements. How do I tune an svm in a bootstrap? I can't find sample code

Hi, I'm not very experienced with R and struggle with data selection from a long matrix with two columns. I want to cut out the data between x > 0 and min(y). > x <- c(-10, -5, 0, 5, 10, 15, 20) > y <- c(10, 10, 10, -5, -6, -7, 10) > data <- as.matrix( cbind(x, y) ) > data x y [1,] -10 10 [2,] -5 10 [3,] 0 10 _ [4,] 5 -5 |-- data interval [5,] 10 -6

I am a rank newb at this and I appologize, I would have dumped MS long ago but I am not any kind of a coder, so having to write scripts and such is out for me. I really want to dump everything microsoft.....but I have to be able to run Adobe Photoshop 7 and CS4......why do I keep PS7...because I can't get a lot of the plug-ins I use for any thing above 7 and a lot of the ones I can I have to