similar to: Generación de números aleatorios. Mixtura k-puntos

Reciban un saludo cordial. Por favor, ¿en cuál biblioteca de R existe una función para generar vectores aleatorios correlacionados, por ejemplo (X,Y), con X~Weibull y Y~Lognormal y corr(X,Y) = 0.7? Gracias desde ya por su atención/ayuda. César Escalante C. [[alternative HTML version deleted]]

Hola, No estoy muy seguro si esto te puede ayudar...pero por mirarlo...: GenOrd <http://cran.rstudio.com/web/packages/GenOrd/index.html>Simulation of ordinal and discrete variables with given correlation matrix and marginal distributions Saludos, Carlos Ortega www.qualityexcellence.es El 18 de diciembre de 2013, 12:42, Cesar Escalante <c.escalante.c@gmail.com>escribió: >

On 4/20/11 10:08 AM, Jianzhou Zhao wrote: > I have a question about when we should apply these pointer aliasing > rules. Do the rules tell us when a load/store is safe? > "Any memory access must be done through a pointer value associated > with an address range of the memory access, otherwise the behavior is > undefined." I don't think the pointer aliasing rules

I have a question about when we should apply these pointer aliasing rules. Do the rules tell us when a load/store is safe? "Any memory access must be done through a pointer value associated with an address range of the memory access, otherwise the behavior is undefined." So this means the conversion discussed here is still safe in terms of memory safety, but its meaning after conversion

On Wed, Apr 20, 2011 at 8:08 AM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: > I have a question about when we should apply these pointer aliasing > rules. Do the rules tell us when a load/store is safe? > "Any memory access must be done through a pointer value associated > with an address range of the memory access, otherwise the behavior is > undefined." >

On Wed, Apr 20, 2011 at 12:20 PM, Eli Friedman <eli.friedman at gmail.com> wrote: > On Wed, Apr 20, 2011 at 8:08 AM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: >> I have a question about when we should apply these pointer aliasing >> rules. Do the rules tell us when a load/store is safe? >> "Any memory access must be done through a pointer value

On Wed, Apr 20, 2011 at 10:21 AM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: > On Wed, Apr 20, 2011 at 12:20 PM, Eli Friedman <eli.friedman at gmail.com> wrote: >> On Wed, Apr 20, 2011 at 8:08 AM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: >>> I have a question about when we should apply these pointer aliasing >>> rules. Do the rules tell

On Wed, Apr 20, 2011 at 2:11 PM, Eli Friedman <eli.friedman at gmail.com> wrote: > On Wed, Apr 20, 2011 at 10:21 AM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: >> On Wed, Apr 20, 2011 at 12:20 PM, Eli Friedman <eli.friedman at gmail.com> wrote: >>> On Wed, Apr 20, 2011 at 8:08 AM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: >>>> I

Hola a todos: quiero consultarles para estar seguro de que estoy entendiendo bien el funcionamiento de la función smoothSpline() del paquete 'timeSeries'. Tengo una serie temporal con datos mensuales a la cual quiero suavizar usando splines para, por ejemplo, comparar con otras series temporales. Por lo que estuve viendo, me conviene usar la función smoothSpline() que se basa en

On Mon, Apr 4, 2011 at 7:10 AM, John Criswell <criswell at illinois.edu> wrote: > On 4/4/2011 6:45 PM, Eli Friedman wrote: >> >> On Mon, Apr 4, 2011 at 5:02 PM, Arushi Aggarwal<arushi987 at gmail.com> >>  wrote: >>> >>>> Hi, >>>> Is it correct to convert, >>>>   %196 = load i32* %195, align 8                

On 4/4/2011 6:45 PM, Eli Friedman wrote: > On Mon, Apr 4, 2011 at 5:02 PM, Arushi Aggarwal<arushi987 at gmail.com> wrote: >> >>> Hi, >>> Is it correct to convert, >>> %196 = load i32* %195, align 8 ;<i32> [#uses=1] >>> %197 = zext i32 %196 to i64 ;<i64> [#uses=1] >>> %198 =

I'm seeing various things fail when I try to next braces inside \eqn. This source \eqn{{\bf\beta}_j}{b(j)} is the vector produces this error ---------------------------------------------- [4] ! Missing $ inserted. <inserted text> $ l.258 \eqn{{\bf\beta}_j}{\bf\beta}_ j{{b(j)} is the vector of coefficients fo... I've inserted a

you also need the dev's aswell <p>> >hello! > >While trying to compile the new and final icecast2, I got this compile >error on the make: > >make[3]: *** [xslt.o] Error 1 >make[3]: Leaving directory `/home/boink/icecast-2.0.0/src' >make[2]: *** [all-recursive] Error 1 >make[2]: Leaving directory `/home/boink/icecast-2.0.0/src' >make[1]: ***

hello! While trying to compile the new and final icecast2, I got this compile error on the make: make[3]: *** [xslt.o] Error 1 make[3]: Leaving directory `/home/boink/icecast-2.0.0/src' make[2]: *** [all-recursive] Error 1 make[2]: Leaving directory `/home/boink/icecast-2.0.0/src' make[1]: *** [all-recursive] Error 1 make[1]: Leaving directory `/home/boink/icecast-2.0.0' make: ***

hi, I'm not a Mac user, thus, my question is: What is the best way to listen to .ogg files with a Mac? In both Mac 9 and MacOS X. ta, b. -- Nullum magnum ingenium sine mixtura dementiae fuit - Seneca (there is no great genuis without madmess) --- >8 ---- List archives: http://www.xiph.org/archives/ icecast project homepage: http://www.icecast.org/ To unsubscribe from this

Hola de nuevo Carlos, he probado a quitar esa variable categórica y me sigue dando el aviso... El Lun, 9 de Abril de 2018, 20:17, Carlos J. Gil Bellosta escribió: > Si, creo que el motivo del warning puede ser ese. Es hipotético, pero > plausible. Sobre todo cuando tienes más de un 90% de ceros. > > El coeficiente de ese nivel para el modelo de la mixtura (ceros vs > binomial >

Before I reinvent the wheel, I have need for a relatively straightforward crosstabulation (2 x n) function. I know that R has table(), ftable(), xtabs(), and summary(xtabs()), but none of these produce a fully "tricked" out cross-tabulation with marginal totals, expected cell frequencies, and an array of statistics about the contingency table. Is there a more complete (something

Buenas noches a todos, Me dirijo a vosotros porque estoy trabajando con medidas repetidas sobre un grupo de sujetos y quisiera graficar la evolución temporal de cada uno de ellos pero suavizada mediante un spline (o en su defecto algún tipo de línea suavizadora que no necesariamente tenga que pasar por los puntos de cada sujeto). Además, quisiera hacerlo en R básico, esto es, sin recurrir al uso

darkice is an execellent bit of software, very well written. and the author of the darkice software, akos, is very active on the darkice ML. http://yp.tilos.hu:9000/tilos_high.ogg <= for a darkice stream. b. On Sat, Nov 22, 2003 at 12:05:55PM -0500, Brendan Cully wrote: > On Saturday, 22 November 2003 at 10:50, Kerry Cox wrote: > > So basically, I download and install ices 0.3,

Greetings. For R gurus this may be a no brainer, but I could not find pointers to efficient computation of this beast in past help files. Background - I wish to implement a Cramer-von Mises type test statistic which involves double sums of max(X_i,Y_j) where X and Y are vectors of differing length. I am currently using ifelse pointwise in a vector, but have a nagging suspicion that there is a