similar to: Regression Tree Questions

On Sat, Feb 24, 2018 at 01:16:27PM -0600, Gary Black wrote: > Hi All, > > I'm a newbie and have two questions. Please pardon me if they are very basic. > > > 1. I'm using a regression tree to predict the selling prices of 10 new records (homes). The following code is resulting in an error message: pred <- predict(model, newdata = outOfSample[, -6]) > >

When I import a simple dataset, run LDA, and then try to use the model to forecast out of sample data, I get a forecast for the training set not the out of sample set. Others have posted this question, but I do not see the answers to their posts. Here is some sample data: Date Names v1 v2 v3 c1 1/31/2009 Name1 0.714472361 0.902552278 0.783353694 a 1/31/2009 Name2 0.512158919 0.770451596

Hi all, For some odd reason when running na?ve bayes, k-NN, etc., I get slightly different results (e.g., error rates, classification probabilities) from run to run even though I am using the same random seed. Nothing else (input-wise) is changing, but my results are somewhat different from run to run. The only randomness should be in the partitioning, and I have set the seed before this

In case you don't get an answer from someone more knowledgeable: 1. I don't know. 2. But it is possible that other packages that are loaded after set.seed() fool with the RNG. 3. So I would call set.seed just before you invoke each random number generation to be safe. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking

On Mon, Feb 26, 2018 at 3:25 PM, Gary Black <gwblack001 at sbcglobal.net> wrote: (Sorry to be a bit slow responding.) You have not supplied a complete example, which would be good in this case because what you are suggesting could be a serious bug in R or a package. Serious journals require reproducibility these days. For example, JSS is very clear on this point. To your question >

The following helps identify when .GlobalEnv$.Random.seed has changed: rng_tracker <- local({ last <- .GlobalEnv$.Random.seed function(...) { curr <- .GlobalEnv$.Random.seed if (!identical(curr, last)) { warning(".Random.seed changed") last <<- curr } TRUE } }) addTaskCallback(rng_tracker, name = "RNG tracker") EXAMPLE: >

Thank you, everybody, who replied! I appreciate your valuable advise! I will move the location of the set.seed() command to after all packages have been installed and loaded. Best regards, Gary Sent from my iPad > On Mar 4, 2018, at 12:18 PM, Paul Gilbert <pgilbert902 at gmail.com> wrote: > > On Mon, Feb 26, 2018 at 3:25 PM, Gary Black <gwblack001 at sbcglobal.net> >

Hi dear R users: I'm trying the following code to download an information from the web. url1 <-

Utilizo la función merge desde hace poco, pero no se me ocurre cómo utilizarla para esto. Yo pienso que se puede hacer con una combinación de ifelse-s pero no sé cómo. Seguro que hay más de una forma ce hacerlo. Quoting José María Mateos <chema en rinzewind.org>: > On Sat, Nov 10, 2018 at 07:54:19PM +0100, Manuel Mendoza wrote: >> Muy buenas. A ver si alguien puede echarme

On 04/03/2018 5:54 PM, Henrik Bengtsson wrote: > The following helps identify when .GlobalEnv$.Random.seed has changed: > > rng_tracker <- local({ > last <- .GlobalEnv$.Random.seed > function(...) { > curr <- .GlobalEnv$.Random.seed > if (!identical(curr, last)) { > warning(".Random.seed changed") > last <<- curr

On Sun, Mar 11, 2018 at 09:12:56AM -0500, KENNETH ROY CABRERA TORRES wrote: > Hi dear R users: > > I'm trying the following code to download an information from the web. > > url1 <-

Muy buenas. A ver si alguien puede echarme una mano. A partir de una matriz de distancias de 29 x 29 he obtenido una df1. Ahora tengo 841 filas con la distancia de cada combinación de esas 29 categorías. Algo así como: Var1 Var2 Dist a a 0 a b 3 a c 5 b a 3 b b 0 b c 5 c ... En otra df2, de 14563 filas, tengo las

Dear R users, I got the following error message from running sqldf code in R. do you know how to fix it? I read the sqldf package instruction and did not find a solution. Thank you, Ding chr10 <- sqldf("select * from manifest where CHR==10") UCN3cpg <- sqldf("select * from chr10 where MAPINFO between 5405573 and 5407594), overwrite = TRUE") Error: Table chr10

Buenas, Alguno usa alguno de los paquetes de Microsoft R para la conexion a SQL Server? De ser asi, que paquete y que comandos usais? Yo hasta ahora he usado odbc, de Rstudio, pero me da siempre problemas con el tipo de datos que tiene SQLServer ... Un saludo Jes?s [[alternative HTML version deleted]]

Buenas a todos, Tengo que adaptar un proyecto que esta en lenguaje de SQL Server a RStudio. En el transcurso de este procedimiento tengo que realizar algunas consultas bastante complejas seleccionando campos de varias tablas y utilizar algunas clausulas como EXCEPT o UNION ALL. También debo actualizar varios campos de tablas usando la sentencia UPDATE y eliminar tablas bien con usando DROP TABLE o

Just wanted to alert everyone regarding a problem that I only experience with R2.9.0 and not with R2.8.1 when I run both using exactly the same script and the same data. Here is what I do with my data "MyData", 2 predictors (V1 and V2) and my survival DV "Depvar": library(survival)

I am working on my second Ubuntu 16.04.1LTS running Samba 4.5.0 with Bind9_DLZ. I have one machine just like this one. Same hardware, same software setup. First machine is working fine. At the moment this (second) machine is not joined to the other (until I get Bind running.) I have searched log complaints. Compared settings between the two machines and despite bind running on the first one,

On 2016-10-16 12:55, Rowland Penny via samba wrote: > On Sun, 16 Oct 2016 12:38:00 -0500 > Bob of Donelson Trophy via samba <samba at lists.samba.org> wrote: > >> I am working on my second Ubuntu 16.04.1LTS running Samba 4.5.0 with >> Bind9_DLZ. >> >> I have one machine just like this one. Same hardware, same software >> setup. First machine is

Muy buenas; mi primera consulta. Utilizo rpart (con as.party) y evtree, para obtener árboles de clasificación. Los represento en una windows() aparte, pero cuando el árbol es un poco grande, las hojas quedan muy estrechas y no se ven los porcentajes. ¿Sabéis como hacer que todo el árbol sea más pequeño para que las hojas no queden como simples líneas? Gracias -- Dr Manuel Mendoza

Dear All It is a little hard to give a good small example of my question,so I will show the full data on the bottom and the attachment.Maybe some one could tell me an appropriate way to show it.I'm sorry for the inconvenience. Q:How to generate a 53*53 diagonal matrix by my data Some problems confused me are that: 1.Since it is a diagonal matrix,I have tried to transform col1 and col2 to