similar to: jagged array (matrices of different dimensions)

Hi, I was trying to draw some ROC curves (prediction of case/control status), but seem to be getting a somewhat jagged plot. Can I do something that would 'smooth' it somewhat? Most roc curves seem to have many incremental changes (in x and y directions), but my plot only has 4 or 5 steps even though there are 22 data points. Should I be doing something differently? How can I provide a

> On Jun 26, 2017, at 11:40 AM, Brian Smith <bsmith030465 at gmail.com> wrote: > > Hi, > > I was trying to draw some ROC curves (prediction of case/control status), > but seem to be getting a somewhat jagged plot. Can I do something that > would 'smooth' it somewhat? Most roc curves seem to have many incremental > changes (in x and y directions), but my plot

Hi everybody, I'm running wine 1.3.5 on ubuntu 10.04. I can play WoW, SC2 and WC3, but Jagged Alliance 2 crashes all the time. It's just this error message: > err:seh:setup_exception_record nested exception on signal stack in thread 0009 eip 7bc72bb0 esp 7ffdbc7c stack 0x232000-0x330000 > It also says this at startup: fixme:x11drv:X11DRV_desktop_SetCurrentMode Cannot change

Hi Brian, Your underlying dataset for the ROC curve only has 4 unique values for specificity, even though there are 23 elements in the vector, hence the step function nature of the first plot. The default smoothing in the smooth() function is "binormal". You might try one of the other smoothing options to see the result and whether they make visual sense. In the absence of smoothing,

Hello, I have a distribution dataset for species consisting of xy coordinates at the 1km resolution, with only presence data. So a simplified example of a species distribution might be: y <- rbind(as.integer(rnorm(100,50,20)), as.integer(rnorm(200,100,30)), as.integer(rnorm(100,180,15))) x <- rbind(as.integer(rnorm(200,50,20)), as.integer(rnorm(200,100,20)), as.integer(rnorm(100,200,15)))

This might be easy (but I didn't find an answer in the archives). I'm trying to make nice looking images (using image()). To make them look nice (not jagged), it usually takes me at least 100x100 points. This can be slow for frequent redraws. Is there a smarter (less point intensive) way? I was thinking in terms of hexabins, for example, which for much less jagged looking regions,

Hi All, I am using plot(x, type = 'l') for some plotting, but I would like rounded edges rather than jagged edges in the plot (purely for aestetic reasons). How could I achieve that? Cheers, Federico -- Federico C. F. Calboli Department of Epidemiology and Public Health Imperial College, St Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 7594 1602 Fax (+44) 020

# HG changeset patch # User Boris Ostrovsky <boris.ostrovsky@amd.com> # Date 1345135101 -7200 # Node ID 85190245a94d9945b7656c971ba36f7d1eff5c19 # Parent 6d56e31fe1e1dc793379d662a36ff1731760eb0c AMD, powernow: Update P-state directly when _PSD''s CoordType is DOMAIN_COORD_TYPE_HW_ALL When _PSD''s CoordType is DOMAIN_COORD_TYPE_HW_ALL (i.e. shared_type is

Good morning to all, I am encountering a blocking issue when using the function 'breackpoints' from package 'strucchange'. *Context:* I use a data frame, 248 observations of 5 variables, no NA. I compute a linear model, as y~x1+...+x4 x4 is a dummy variable (0 or 1). I want to check this model for structural changes. *Process & issues:* *First, I used function Fstats.* It

Probably a very simple query: When I try to plot a curve from a fitted polynomial, it comes out rather jagged, not smooth like fitted curves in other stats software. Is there a way of getting a smooth curve in R? What I'm doing at the moment (for the sake of example) is: > x <- c(1,2,3,4,5,6,7,8,9,10) > y <- c(10,9,8,7,6,6.5,7,8,9,10) > b <- data.frame(cbind(x,y)) >

The correct kernel configuration for VMDq support is CONFIG_XEN_NETDEV2_VMQ, not CONFIG_XEN_NETDEV2_BACKEND. Signed-off-by: Mitch Williams <mitch.a.williams@intel.com> diff -urpN a/drivers/net/ixgbe/ixgbe.h b/drivers/net/ixgbe/ixgbe.h --- a/drivers/net/ixgbe/ixgbe.h 2009-02-06 09:03:44.000000000 -0800 +++ b/drivers/net/ixgbe/ixgbe.h 2009-02-10 14:32:57.000000000 -0800 @@ -35,7 +35,7 @@

Hi everyone, I am trying to make some publication-quality plots for use in Microsoft Word, but I am having trouble creating high-quality plots that are supported by Microsoft Word. If I use the R plot function to create the figure, the lines are jagged, and the picture is not of high quality (same with JPEG(), TIFF(), and PNG() functions). I have tried using the Cairo package, but it distorts

Hi, I'm running ubuntu edgy with compiz, switched from gentoo to ubuntu for faster updates (emerge is way slow with source builds..). So far, I like it. but that is not the issue I'm addressing now. I've noted that with both these machines, when I'm doing something that tints the whole screen to gray (like trying to logout, or using some software that prompts for sudo

Can someone please show me how to smooth time series data that I have in the form of a zoo object? I have a monthly economies series and all I really need is to see a less jagged line when I plot it. If I do something like s <- smooth.spline(d.zoo$Y, spar = 0.2) plot(predict(s,index(d.zoo)), xlab = "Year") # not defined for Date objects and if I do something like

I have written a new pass, it compiles ok but crashes when i run it with error (llvm::Pass::Pass(llvm::PassKind, intptr_t): Assertion `pid && "pid cannot be 0"' failed.). The pass is : using namespace llvm; namespace { struct Dfl : public FunctionPass { static char ID; Dfl() : FunctionPass(ID) { } virtual bool runOnFunction(Function &F) { bool

Hello, I am trying to fit my histogram to a smooth Gaussian curve(the data closely resembles one except a few bars). This is my code : #!/usr/bin/Rscript out_file = "irc_20M_opencl_test.png" png(out_file) scan("my.csv") -> myvals hist(myvals, breaks = 50, main = "My Distribution",xlab = "My Values") pdens <- density(myvals, na.rm=T) plot(pdens,

For one we shouldn''t accept IVHD tables specifying IO-APIC IDs beyond the limit we support (MAX_IO_APICS, currently 128). And then we shouldn''t memset() a pointer allocation of which failed. Signed-off-by: Jan Beulich <jbeulich@suse.com> --- a/xen/drivers/passthrough/amd/iommu_acpi.c +++ b/xen/drivers/passthrough/amd/iommu_acpi.c @@ -674,6 +674,13 @@ static u16 __init

I am creating a new pass (function pass) called Dfl from the Hello example and notes on "Writing an LLVM Pass". When I compile the program I get inncomplete type error (llvm/include/llvm/Pass.h:188: error: incomplete type 'llvm::DominatorTree' used in nested name specifier). The code is given below. Surinder struct Dfl : public FunctionPass { raw_ostream *Out; static

Use the cleanup handlers to free the structs (and list of structs) in case their OCaml->C transformation fails for any reason; use calloc() to not try to use uninitialized memory. In case of lists, avoid allocating the memory for the array if there are no elements, since the returned pointer in that case is either NULL, or a free()-only pointer; also, set the list size only after the array is

Hi Starting to use R as a serious tool, I have come across a programming problem that I can't see the answer too yet. Can someone advise me plese. The problem is that I want to plot a series of lines which represent short term growths. All the data is in a single vector and I can indicate the index via a second vector. In GLIM, if the second vector is a factor, a single $GRA Size Year