search for: cdf1

...colnames(pds.) = names(pds) = c("p0", "delhat", "sighat") names(stdev) = c("sdp0", "sddelhat", "sdsighat") return(list(pds = pds, x = x, f = f, pds. = pds., stdev = stdev)) } p1 <- seq(0.01, 0.99, 0.01) cdf1 <- rep(0, 99) fd <- fdr if (nulltype == 0) fd <- fdr0 for (i in 1:99) cdf1[i] <- sum(f1[fd <= p1[i]]) cdf1 <- cbind(p1, cdf1/cdf1[99]) mat <- cbind(x, fdr, Fdrl, Fdrr, f, f0, f00, fdr0, yall, lfdrse, f1) namat <- c("x", &quot...

...he integration between the two ECDFs to examine the size of this gap. I would also like to try and examine the horizontal distance between the two CDFs via another visual display. In other words, the distance between, say the 50th percentile, from each CDF (or, the distance along the x-axis from cdf1 to cdf2 at each percentile. Ideally, I would like to plot this horizontal gap at each percentile. Secondly, I would like to try and measure and plot the vertical gap, i.e., the distance along the y-axis from cdf 1 to cdf2 at each value along the x-axis. I am not sure if I first need to smooth t...

...&keyword=Buffalo+WHR-G5 4S&searchSection=All&go.x=11&go.y=10 How do I find my Linksys WRT54G/WRT54GS/WRT54GL's version? Look at the bottom side of the router to check for the version number, or compare the first 4 characters of the serial number with the following list: CDF0/CDF1 = WRT54G v1.0 CDF2/CDF3 = WRT54G v1.1 CDF5 = WRT54G v2.0 CDF7 = WRT54G v2.2 CDF8 = WRT54G v3.0 CDF9 = WRT54G v3.1 CDFA = WRT54G v4.0 CGN0/CGN1 = WRT54GS v1.0 CGN2 = WRT54GS v1.1 CGN3 = WRT54GS v2.0 CGN4 = WRT54GS v2.1 CGN5 = WRT54GS v3.0 CGN6 = WRT54GS v4.0 CL7A = WRT54GL v1.0 CL7B = WRT54GL v1.1...

On 3/11/2018 3:35 PM, Christofer Bogaso wrote: > But for my reporting purpose, I need to generate a bell curve like > plot based on empirical PDF, that also contains original points. > > Any idea would be helpful. Thanks, > Christofer, something like the following may get you what you want: ## get the kernel density estimate dens <- density(Dat) ## estimate the density at

But for my reporting purpose, I need to generate a bell curve like plot based on empirical PDF, that also contains original points. Any idea would be helpful. Thanks, On Mon, Mar 12, 2018 at 3:49 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > You need to re-read ?density and perhaps think again -- or do some study -- > about how a (kernel) density estimate works. The points at

Package: xcp-squeezed Version: 1.3.2-9 Severity: important When trying to start a guest I get: # xe vm-start name-label=squeeze-2 The server failed to handle your request, due to an internal error. The given message may give details useful for debugging the problem. message: Failure("The ballooning daemon is not running") If I then manually run "/etc/init.d/xcp-squeezed