similar to: R graphs from database

Hi there. R v1.3.0, Slackware linux 7.1 or Windows 98SE, PII 266, 64Mb RAM. I notice that under windows, R puts help info (ie. the response to '?<function>') into a new window, whereas under linux, it puts it into the main console window. I find the former much more helpful when checking a function's syntax. Is there a simple way of configuring R under linux to put its help

Hi, I've been working on further improving the perf profile view in LNT that James added recently. I've got a series of patches ready that reconstruct the control flow graph from the perf profiles, which helps a lot in quickly finding the codegen differences that cause performance deltas. I've used the D3 javascript library (https://d3js.org/) to implement the visualization. My

I have written a series of C modules that produce various custom (technical analysis) graphs when presented with a financial time series. The code was developed on the Win2K and so makes many now level function calls to the GDI etc, and is very tightly wedded to the Win2k windowing system. I notice however, that most of the graphing functionality in R (at least on the Windows OS) is handled

Removing rows with NAs, using na.omit(), doesn't seem to be working for me. Dataset: > str ( ex10s ) 'data.frame': 2189576 obs. of 5 variables: $ LOPNR : int 58 58 58 58 64 64 64 64 64 64 ... $ DIAGNOS: Factor w/ 173 levels "F20","F200","F2000",..: 128 128 128 128 105 105 105 160 105 105 ... $ X_DATE : int 20060821 20061207 20080102 20090904

Hi guys, I am updating a package because of data format in data folder. So I just change an extension of a file to .txt ... nothing more. I get this error on the R CMD check ** help *** installing help indices ** building package indices ... Error in read.table(zfile, header = TRUE, as.is = FALSE) : more columns than column names ERREUR : installing package indices failed Note that the R CMD

I would be very grateful for any help from members of this list for what might be a simple problem... We are trying to simulate the behaviour of a clinical measurement in a series of computer experiments. This is simple enough to do in R if we assume the measurements to be Gaussian, but their empirical distribution has a much higher peak at the mean and the distribution has much longer tails.

Hi All: This is really getting into the weeds, but I am hoping someone will have a solution. I am trying to use dygrahs for R, within Shiny. The situation arises when I am combining a number of dygraphs into one plot. If I am just in an RNotebook, if you look at: https://stackoverflow.com/questions/30509866/for-loop-over-dygraph-does-not-work-in-r the solution to have the plot shown from a

Hi all, I'm having some troubles with the Quantreg package. I am using R version 2.10.0, and have downloaded the most recent version of Quantreg (4.44) and SparseM (0.83 - required package). However, when I try to run an analysis (e.g. fit1<-rq(y~x, tau=0.5)) I get an error message saying that the function "rq" could not be found. I get the same message when I try to search

I am having problems getting my 64-bit Debian Squeeze (Xen version 4.0, Linux Kernel 2.6.32) dom0 to recognize a harddrive connected to a secondary sata controller. My motherboard is a Gigabyte GA-X79-UP4 and has two sata controllers. The first is controlled by an Intel X79 chipset and the second is controlled by a Marvell 88SE9172 chip. During the initial install of Debian everything is fine and

I would like to run a for loop with an index going from 0 to 499 but the following seems to miss out the first value: C <- 499 for (i in 0:C) The alternative is: C <- 500 for (i in 1:C) { #Then every time I use i, I replace it with i-1 } Is this a good way to do it or is tere a better way? Thank you, ThomasThis message and any attachment are intended solely for the addressee and may

http://bugs.freedesktop.org/show_bug.cgi?id=21023 Summary: NV34GL: fails to properly set up DVI Product: xorg Version: unspecified Platform: Other OS/Version: All Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at lists.freedesktop.org ReportedBy:

I have a large dataset (~1 million rows) of three variables: ID (patient's name), DATE (of appointment) and DIAGNOSIS (given on that date). Patients may have been assigned more than one diagnosis at any one appointment - leading to two rows, same ID and DATE but different DIAGNOSIS. The diagnoses may change between appointments. I want to subset the data in two ways: - define groups

https://bugs.freedesktop.org/show_bug.cgi?id=30370 Summary: Nouveau module crashes with "divide error" Product: xorg Version: git Platform: x86-64 (AMD64) OS/Version: Linux (All) Status: NEW Severity: critical Priority: medium Component: Driver/nouveau AssignedTo: nouveau at

Hi all, I''ve been using RJS more and more for my app and I have sorta run into a possible issue. My app has different user roles that require different layouts. So far, this has worked fine, but now that I''m using rjs more and more I''m finding that the two don''t really work together since I have to rails not to use a layout upon controller method

I've tried installing wine using synaptic on ubuntu, also compiling form source and a couple of other ways but never get a ./wine/config file ? Any idea what I'm doing wrong? Thanks Jim -- Dr. Jim Maas james.maas@nottingham.ac.uk This message has been checked for viruses but the contents of an attachment may still contain software viruses, which could damage your computer system:

Typo "responisbility", otherwise looks great to me, please apply. For ARM, please just file a bugzilla suggesting that the ARM backend adopt this. Thanks Richard! -Chris On Mar 9, 2010, at 6:06 AM, Richard Osborne wrote: > On 02/03/10 00:11, Jim Grosbach wrote: >> On Mar 1, 2010, at 4:09 PM, Richard Osborne wrote: >> >>> On 01/03/10 21:14, Chris Lattner

1) When adding additional data sets to a plot using "plot" followed by "lines", is there a way to automate the scaling of the axes to allow for all data sets to fit within the plot area? 2) I attempted to solve this by setting xlim=c(min(c(data1,data2,data3)),max(c(data1,data2,data3))) however, there are some NAs and Infs in these data sets, and min(data1) and max(data1) both

Hi Stuart, I often use this small function standardize <- function(x) ( x - mean(x, na.rm=T) ) / sqrt(var(x, na.rm=T)) to standardize variables. You should be able to use this to do what you want by splitting the data frame into sections based on the factor level, using standardize() to create a new variable in each section, then paste the data frame back together. Something like: #

I'm wanting to perform analysis (e.g. using eigen()) of binary matrices - i.e. matrices comprising 0s and 1s. For example: n<-1000 test.mat<-matrix(round(runif(n^2)),n,n) eigen(test.mat,only.values=T) Is there a more efficient way of setting up test.mat, as each cell only requires a binary digit? I imagine R is setting up a structure which could contain n^2 floats. Thanks in advance

Hi, I am a student in archaeology with some interest in statistics and R. Recently I've obtained the permission to distribute in the public domain a small dataset (named "spearheads" with 40 obs. of 14 variables) that was used in an introductory statistics book for archaeologists (published in 1994). I've rewritten most of the exercises of that book in R and made them