similar to: about scor {bootstrap} R version 2.15.2

Hello, somebody can explain how to create dispersion graphic, because i need to put this dispersion graphics inside a matrix. The data is the next one: 2 test (mechanics and vector) open book. 3 test (algebra, analysis y statistics) closed book. Also could you explain which is the use of scor(bootstrap) And how can be used for create a matrix of graphics? Thanks, Tania [[alternative

Hello R, could you tell me please, how to fix this issue? There is installed RStudio-2.15.2 and the next steps where follow but the message appears: http://cran.r-project.org/web/packages/RMySQL/INSTALL): > > 1. Download the RMySQL_0.9.tar.gz file to the folder C:\Program > Files\R\R-2.15.1\bin\x64 > 2. Open a Windows command line, and change directory to that folder > 3.

Hello all, could you tell wehere I can find information related to MCMC (Monte Carlo). And some examples about this topic. Thanks, Tania [[alternative HTML version deleted]]

Hello R, could you explain to me how to resolve this question: If this is a matrix: Element S1 S2 S3 S4 0 0 1 0 1 1 0 1 0 0 2 1 0 0 1 3 0 0 1 0 4 0 0 1 1 5 1 0 0 0 1. How is possible to ompute the minhash signature for each column if we use the following three hash functions:

Hola R, tengo las siguientes preguntas: Pregunta 1: Cargar las tablas de los datos de peliculas en R usando `ff`. Cómo se construye una columna nueva que de, para cada cliente y cada evaluación, de el número de días que han pasado desde la primera evaluación del cliente? Qué función se utiliza para verifica el consumo de memoria en las operaciones? Pregunta 2: Cómo se corre un modelo de

Hello all, could you explain to me how to create a tree in R, and if you can explain every line of code that will be great. Which are the libraries that are needed and where I can find more examples. Thank you! Tania [[alternative HTML version deleted]]

Hello all, could you explain me, how to get bootstrap estimates if i have the next data: >scor mec vec alg ana sta 1 77 82 67 67 81 2 63 78 80 70 81 3 75 73 71 66 81 4 55 72 63 70 68 5 63 63 65 70 63 6 53 61 72 64 73 7 51 67 65 65 68 8 59 70 68 62 56 9 62 60 58 62 70 10 64 72 60 62 45 11 52 64 60 63 54 12 55 67 59 62 44 13

Hello all, could you please tell me how to create a 95 percent confidence interval using R, if I have the next data: > blue [1] 4 69 87 35 39 79 31 79 65 95 68 62 70 80 84 79 66 75 59 77 36 86 39 85 74 [26] 72 69 85 85 72 > red [1] 62 80 82 83 0 81 28 69 48 90 63 77 0 55 83 85 54 72 58 68 88 83 78 30 58 [26] 45 78 64 87 65 Build a confidence interval of 95 % for the difference of the

Hello all, could you tell where is an example of metropolis hasting? Thank you! Tania Sent from my iPod

Hola, si tengo estas dos funciones de distribucion y quiero en una grafica verla, como le hago en R? [image: Imágenes integradas 1] Cual es el comando en R para graficar estas funciones? Saludos, Tania ------------ próxima parte ------------ Se ha borrado un adjunto en formato HTML... URL: <https://stat.ethz.ch/pipermail/r-help-es/attachments/20121215/7d185b91/attachment-0001.html>

hello,Everyone! I am a freshman to use R. Can anybody tell me where has scor function which achieves the skipped correlation? Thank you very much! Bset wishes! Jiaolong Qin [[alternative HTML version deleted]]

Hi, I am new to R and I need to perform multiple chi-square tests. I manage to perform one at a time, but is there a specific command to do multiple tests? For example, I have a table that looks like this: Marker Treatment Genotype1 Genotype2 Genotype3 1 A 23 57 32 1 B 43 59 12 ... ... n A ## ## ## n

Hi, I am running R2.8.1 under Linux, and I am having trouble using the variance functions in nlme My basic model was something like: model0 <- lme( log(growth) ~ light * species.group , data=data, random=~light|species ) # with 20 odd species divided in 2 groups Following the methods in Pinheiro&Bates I tried to put a variance function in the model: model1 <- update(model0,

Dear all, I have a collection of 5000 entries which represent the evolutionary rates of 3 animals. I would like to show the differences between the rates of all 3 animals and have tried using the function parallel (from the lattice package) and pairs() function. The parallel function would have been perfect save for the large number of data (5000). The pairs() function doesn't show

Dear all, I am a newbie in R and need some help please. (I do apologise if my email is not as informative as it should be, I've tried to include the relevant details without overcrowding it with the rest of the code) I would like to sample (without replacement) Y objects based on the number of objects in X in 5 different bins. I'm having trouble because the list object in which

Dear All, I do apologise if this question is out of place for this list but I've tried searching mailing lists and read "Introductory Statistics with R" by Peter Dalgaard, but couldn't find any hints on solving my question below: I have a data frame (d) of values which I will rank in decreasing order of "val". Each value belongs to a group, either 'A',

Dear all, I want to read in 1000 files which contain varying number of columns. For example: file[1] contains 8 columns (mixture of characters and numbers) file[2] contains 16 columns etc I'm reading everything into one big data frame and when I try rbind, R returns an error of "Error in rbind(deparse.level, ...) : numbers of columns of arguments do not match" Below is my

Hello all, do you know how to mix three different classification techniques using R. For example if I have lm regression, svm and neural nets how can I mix them to have something like ensemble learning? Thank you, Tania Sent from my iPod

Dear All, I am fitting scallop count data to negative binomial GAMs. I have two significant parameters that explain 43%of the deviance. The adjusted r square is 0.25. The gam.check function gives me the figure attached. In the graph of linear predictor vs. residuals there seems to be more negative residual values than positive. Is that telling me that the fit is underestimating the response? Can

Hi all, I have a simple question: I have a character vector like this [1] "10_1" "1_1" "11_1" "2_1" "3_1" "4_1" "5_1" "6_1" "7_1" "8_1" [11] "9_1" "1_3" "2_3" "3_3" "4_3" "1_4" "2_4" "3_4"