search for: curves

...s creating private keys, issuing csr, signing certs with that particular curve. Printing certs and verifying certs against keys is panning out too, comparing md5 hashes also no errors. So why would openssl not accept (limit) keys is has generated and verified with no error? [ openssl ecparam -list_curves ] ? secp112r1 : SECG/WTLS curve over a 112 bit prime field ? secp112r2 : SECG curve over a 112 bit prime field ? secp128r1 : SECG curve over a 128 bit prime field ? secp128r2 : SECG curve over a 128 bit prime field ? secp160k1 : SECG curve over a 160 bit prime field ? secp160r1 : SECG curve over a...

> On 30 July 2018 at 20:37 ????? <vtol at gmx.net> wrote: > > > > >>>>>>> facing [ no shared cipher ] error with EC private keys. > >>>>>> the client connecting to your instance has to support ecdsa > >>>>>> > >>>>>> > >>>>> It does - Thunderbird 60.0b10 (64-bit) >

...mparing md5 hashes also no errors. So why </div> <div> would openssl not accept (limit) keys is has generated and verified with </div> <div> no error? </div> <div> <br> </div> <div> [ openssl ecparam -list_curves ] </div> <div> secp112r1 : SECG/WTLS curve over a 112 bit prime field </div> <div> secp112r2 : SECG curve over a 112 bit prime field </div> <div> secp128r1 : SECG curve over a 128 bit prime field </div> <div>...

I am attempting to wrap the histogram function in my own custom function, so that I can quickly generate some standard plots. A part of what I want to do is to draw a normal curve over the histogram: > x <- rnorm(1000) > hist(x, freq=F) > curve(dnorm(x), lty=3, add=T) (for normal use, x would be a vector of empirical values, but the rnorm() function works for testing) That

Dear useRs, my question could be very basic for which i apologize in advance. Each column of a matrix with dimensions 365 rows and 37 columns was drawn against another matrix of dimensions 365 rows and 1 column. with that i was able to draw 37 curves on the same axis. now i want to draw an average curve of these 37 curves on the same axis in such a way that all the curves (average and 37 curves) should appear on the same axis at the same time. i used >par(new=TRUE) But it has 2 limitations 1- it completly distorted y-axis values 2- it w...

hmm HFSC ? where can i find more informations and examples about the *linux* HFSC ? http://trash.net/~kaber/hfsc/ does not help here -- _______________________________________________ LARTC mailing list / LARTC@mailman.ds9a.nl http://mailman.ds9a.nl/mailman/listinfo/lartc HOWTO: http://lartc.org/

...ted by R for the first graph, which are roughly, c(0,2.1) I know two obvious solutions for this, which are: 1) passing a sufficiently large parameter e.g. ylim=c(0,4) to the first graphic curve(dbeta(x,2,4),ylim=c(0,4)) curve(dbeta(x,8,13),add=T,col=2) or 2) switch the order in which I plot the curves curve(dbeta(x,8,13),col=2) curve(dbeta(x,2,4),add=T) but I guess if there is any way of adjusting the limits of the graphic "a posteriori", once you have a plot with the undesired limits, forcing R to redraw it with the new limits, but without having to execute again the "curve&quot...

Dear Sirs, I am a new user of the R package. When I try to use the curve function it confuses me. > curve(x^2) Works fine. > curve(x) Makes a complaint I don't understand. Why is x^2 valid and x is not? I check the documentation of curve, and it says the first argument must be an expression containing x. > expression(x) Is an expression containing x. > curve(expression(x))

Hi All, I'm trying to figure out the cumulative incidence curve in R in some limited time. I found in package "cmprsk", the command "plot.cuminc" can get this curve. But I noticed that there is no mark for the censored time there, comparing with the KM curve by "plot.survfit". Here are my codes (attached is the data): ----------------

HI I'm a student in chemical engineering, and i have to implement an algoritm about FIVE PARAMETERS INTERPOLATION for a calibration curve (dose, optical density) y = a + (c - a) /(1+ e[-b(x-m]) where x = ln(analyte dose + 1) y = the optical absorbance data a = the curves top asymptote b = the slope of the curve c = the curves bottom asymptote m = the curve X intercept Have you never seen this formula, because i don't fine information or lecterature about solution of this!!! Can i help me Hi Mr. Calandra

First a statistical issue: The survfit routine will produce predicted survival curves for any requested combination of the covariates in the original model. This is not the same thing as an "adjusted" survival curve. Confusion on this is prevalent, however. True adjustment requires a population average over the confounding factors and is closely related to the stand...

Hi, Down a cascade of function calls, I want to use the curve function with an expression that is a variable. For various reason, this variable must be a character object and cannot be an expression as required by the curve function. How do I convert my variable into a expression that is accepted by curve? Thanks in advance for your help. ## The following attempts do not work myf <-

Hi all, I want to provide the result from D() to curve(), because I want to plot the k-th derivative of some functions. Actually, I copy from console the result given by D() and paste inside curve(). With a lot of functions and high degree differentiation this process is tedious. Can I provide directly?? # what I actually have done (very simple function) D(expression(x^3), "x") # copy

Though I have read quite a bit, and tried quite a bit, I have yet to find a nice way to overlay 2 or more curves in the same plot, with different ranges. Here is simplified sample code to demonstrate the question: > plot(2*(seq(1,5)), type="l", axes=FALSE) > curve(2*(seq(1,5)), type="b", add=TRUE) Error in curve(2 * (seq(1, 5)), type = "b", add = TRUE) : 'expr...

Hi Folks, I'd be grateful for good suggestions about the following. I'm plotting a family of (X,Y) curves (for different levels of another variable, Z): say 6 curves in all but could be more or less -- it's a rather variables situation. I'd like to label each curve with the value of Z that it corresponds to. The problem is that the layout (shapes, spacings, ranges of X over which non-NA value...

If I have, say, five scatter points and want to connect them together into a smooth curve. I did plot(x,y,type="l"), but the graph is five segments connecting with each other, but not a smooth curve. I wonder if there is a line type that is a curve. Thanks! -- View this message in context: http://r.789695.n4.nabble.com/connecting-points-into-a-smooth-curve-tp3021796p3021796.html Sent

...,],main="Fitting Nelson-Siegel yield curve", type="o") lines(tau,y, col=2) legend("topleft",legend=c("observed yield curve","fitted yield curve"), col=c(1,2),lty=1)   # __________________________________________________ The plot gives me two curves (1) Observed yield curve and (2) Fitted yield curve.     Unfortunately I am not able to interpret the result.   The input has 330 records (i.e. from January 1982 to June 2009) and each record has 6 yields given (for the period 3months, 6 months, 1 year, 5 years, 7 years and 10 years.)   Unf...

...is way, the mortality curve would be stored next to age/gender data in the data frame. However, I read in several places that putting vectors/matrices as elements of a data frame is a bad idea. I do not know why. What is a good design choice in this instance please? How should I store the mortality curves? Thank you for your help.

Hi List, I would like to plot multiple curves (parametric density curves) in one plot. For example: # parameters for three normal density curves parms = data.frame(ID=c(1,2,3),mu=c(50,55,60),sigma=c(10,12,15)) # I can easily draw three normal density curves using curve(): curve(dnorm(x,mean=parms$mu[1],sd=parms$sigma[1]),from=0, to=150, yl...

Dear all, I would like to plot under the same plot many curves like mycdf<-ecdf(runif(100)) plot(mycdf) curve(mycdf,from=-1,to=1) mycdf<-ecdf(runif(200)+3) plot(mycdf) curve(mycdf,from=-1,to=1) as you can see each new call to curve redraws (erases) the window. How I can have an effect like plot(mycdf) lines(mycdf2) lines(mycdf3) I would like to than...