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Re: R package development in windows BayesianFilter detected
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subset
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acos(0 5) == pi/3 FALSE
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To Predict for a vector

Dear all It 's possible in R to predict the new values for a vector ? For example I have these vectors V1 at time 1 is [1 3 6 3 8 5 3] V2 at time 2 is [5 3 7 8 9 5 4] V3 at time 3 is [7 5 3 2

loop over large dataset

In my absentmindedness I 'd forgotten to CC this to the list... and BTW using gc() in the loop increases the runtime... > > My suggestion is that you try to vectorize the computation as much > > a

Rotate legends or other approaches to nice legend placement?

I 'm sure this general sort of question has been asked many times before - I would _like_ automatic and sensible legend placement in barplots so data is not overwritten... but since there doesn 't see

compare two lists with differents levels

Hi I would like to compare 2 lists resulted from a sql query! bu there are different levels so when I want to do release1 <-sqlQuery(channel paste( "select distinct c.ID c.Title TitleCrit from cat

A faster way to aggregate?

Dear List I have a logical data frame with NA 's and a grouping factor and I want to calculate the % TRUE per column and group. With an indexed database result are mainly limited by printout time

RESIDUALS IN THE AR TIME SERIES FUNCTION

Dear all It 's possible to obtain the residuals with AR time series function. Thanks in advance Massimiliano Talarico Pianificazione Commerciale - Area Crm Unicredit Xelion Banca S.p.A. Via

Windows compile

I 'm trying to compile R on Windows 2003 Server and following the instruction laid out in R inst and admin manual I continue to get this error make ./Rpwd.exe Command not found make[1] ./Rpwd.

over/under flow

I am porting some FORTRAN to R in which an Inf triggers an if(). The trigger is infinite on exp(lgamma(OVER)). What is the canonical R style of determining OVER when exp(OVER) Inf? The code stru

demo(scoping)

entercount an error with demo(scoping). > demo(scoping) demo(scoping) ---- ~~~~~~~ ___snip_____ > ross$balance() Your balance is 120 > try(ross$withdraw(500)) Error in ross$with

Symbolic Maximum Likelihood in R

Dear List Is any one aware of a package that would extend the D() function and allow for one to maximize a likelihood function symbolically? Something akin to Solve[x 0 parameter] function in Math

Pearson and Spearman correlation coeffcients matrix

Hi everyone I 've been trying to find a function that outputs the Pearson and/or Spearman correlation coefficients for several variables with the associated statistics in one single table/matrix. For

code for model-averaging by Akaike weights

Dear all does anyone have r code to perform model-averaging of regression parameters by Akaike weights and/or to do all-possible-subsets lm modelling that reports parameter estimates AICc and numb

jagged array

Hi I have a "jagged array " which looks like this > res ... [[996]] [1] 1.375 3.375 4.125 4.625 4.875 4.875 6.625 7.125 8.875 [[997]] [1] 1.875 5.125 6.875 7.875 9.875 [[998]] [1] 1.875 5.375 6.

how to set the position and size of the select.list window

Hello I use "select.list " to obtain a window of select items but how can I set the position and size of this window? Thank you! shengzhe

Specifying the minimum and maximum of x and y-axis in plot

Hi How do I specify the minimum and maximum of the x and y-axis when using plot ? Thanks Tolga

probability-probability plot

Hi there. Is there any function in R to plot the probability-probability plot (PP plot)? Suppose I am testing some data against normal. Thanks. Yulei $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ Yul

Cluster of iris data set from Mahalanobis distances

Dear R list My question I 'm trying to calculate Mahalanobis distances for 'Species ' from the iris data set as below cat( '\n ') cat( 'Cluster analyse of iris data\n ') cat( 'from Mahalanobis distanc

interrupted Y axis

I did not find an answer to my question after a quick search using the R search engine so thought I 'd ask away Does any know if there 's a function exists to create an interrupted Y axis? What I mean

how to call sas in R

Hello all I would like to know how to call sas code in R. Since I simulate data in R and I need to use sas code (garch-t egarch and gjr) to estimate it. I need to simulate 500 times with 2000 obs. Ho

Generating correlated data from uniform distribution

While you are looking at weird distributions here is one that we have used in experiments on noise masking to explore the bandwidth of visual mechanisms D 'Zmura M. & Knoblauch K. (1998). Spectr

Can you help?

Please take the time to read this email. What you might view as spam could be an animals last chance. Animals don 't stand a chance without the everyone 's help. Some people don 't care some don 't thin

Is it possible to use glm() with 30 observations?

I have a very simple problem. When using glm to fit binary logistic regression model sometimes I receive the following warning Warning messages 1 fitted probabilities numerically 0 or 1 occurred

as.Date < today ?

I have a Date variable that I constructed with as.Date() How ca I compare it to today ( < > ) ?

scope argument in step function

Thanks a lot for help in advance. I am switching from matlab to R and I guess I need some time to get rolling. I was wondering why this code > fit.0 <- lm( Response ~ 1 data ds3) > step(fit.0

Generating correlated data from uniform distribution

Dear R users I want to generate two random variables (X1 X2) from uniform distribution (-0.5 0.5) with a specified correlation coefficient r. Does anyone know how to do it in R? Many thanks! Men

Setting lattice boxplot 's lines to black

Hi R users. I 'm using the lattice library and I need a print version for my graphics. How Set I my boxplot 's lines to black ???? tpl <-trellis.par.get( "plot.line ") tpl$col <- "black " trellis.par.se

lapply

Hi all I have a program here but it runs slow and I am wondering if there is some place I can change to make it run faster. Two lists scd and c1 like this > scd[1 2] [[1]] [1] "54 " "241 " [[2]]

zlim for levelplot

Lines for plot (Sweave)

Dear List I am generating a series of plots iteratively using Sweave. In short a dataframe is subsetted row by row and variable graphics are created conditional on the data in each row. In this par

Calculate 3D Fixed Kernel Home Range

I have x y data on three animals (~150 data points each). I have calculated the fixed kernel home range using the 'adehabitat ' library and the LSCV smoothing factor. Can anyone provide me with som
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