similar to: Epicalc package

Hi everyone, I'm studying the manual name: Analysis of Epidemiological Data Using R and Epicalc, maked by: Virasakdi Chongsuvivatwong and Edward McNeil. And I can't find the data base that they use in some examples, this are the names: Chapter7.Rdata,Chapter8.Rdata,Chapter9.Rdata Somebody can tell me how can I have this files? Thk! Jos? O__ ---- Jos? Bustos M. c/ /'_ ---

Hi everyone, I'm working with the Epical library, specicatly using the power test in proportions. I think this test is not working like in the book: Biostatistical Analysis (4th Edition): Jerrold H. Zar In the example 23.25. (I attach this Pic) It's not the same answer. Using the follow command don't give the same answer. library(epicalc) power.for.2p(0.75, 0.50, 50, 45, alpha =

Dear R-help, I am resending as I believe I screwed up the e-mail address to R-help earlier. Sorry for my lack of attention to detail, and for any inconvenience. I have also sent the question to the package maintainer, as suggested in the posting guide. Regards, Cliff ---------- Forwarded message ---------- From: Clifford Long <gnolffilc at gmail.com> Date: Sun, Jul 26, 2009 at 8:46

Dear R-users, After running a logistic regression, I need to calculate OR by exponentiating the coefficient, and then I need the 95% CL for the OR as well. For the following example (taken from P. Dalaagard's book), what would be the most straightforward method of getting what I need? Could anyone enlight me please? Thank you! Lucho > summary(glm(menarche~age,binomial)) Call:

Dear R-help list, I'm attempting to use the ROC routine from the epicalc package after performing a logistic regression analysis. My code is included after the sessionInfo() result. The datafile (GasketMelt1.csv) is attached. I updated both R and the epicalc packages and tried again before sending this request. sessionInfo result: R version 2.9.1 (2009-06-26) i386-pc-mingw32 locale:

Hello list, I am trying to avoid "Rifying" some of my SAS code to generate ROC plots, and the logistic.display() and lroc() functions in the epicalc package do what I want. However, I must generate my logistic model with bigglm because I have 1) limited hardware, 2) ~2.5 million rows, and 4 categorical and 2 continuous independent variables. When I attempt to invoke epicalc's

Hi, I use the epicalc package which provides the function aggregate.numeric. Unfortunately aggregate.numeric produces warnings when aggregate is used by functions not under my control on a numeric value. If I don't load epicalc, aggregate.default is used instead by these functions and does not produce any warning. However I need epicalc. So to get around this, what I would do is firstly

Buenas noches Javier y José, Estoy en contra de usar attach(), asi que propongo la siguiente alternativa con with(): # paquete require(epicalc) # los argumentos en ... pasan de epicalc:::cc # ver ?cc para mas informacion foo <- function(var1, var2, var3, ...){ or1 <- cc(var1, var2, ...) or2 <- cc(var1, var3, ...) list(or1 = or1, or2 = or2) } # datos x <-

Dear R-people, I am analyzing epidemiological data using GLMM using the lmer package. I usually explore the assumption of linearity of continuous variables in the logit of the outcome by creating 4 categories of the variable, performing a bivariate logistic regression, and then plotting the coefficients of each category against their mid points. That gives me a pretty good idea about the

Dear R Users; I am an R user who has recently bought a new laptop;Toshiba Satellite U405 running on both Windows Vista and Ubuntu. I have problems on the wondows vista when installing packages. The argument 'lib' is missing. How do i solve this problem? Illustration: > install.packages("epicalc") Warning in install.packages("epicalc") : argument 'lib'

Dear all, I installed my R-2.9.2 on my ubuntu version 9.04 successfully using the command sudo apt-get install r-base-dev The problem is that I cannot install any package. See my details below: > install.packages("epicalc") Warning in install.packages("epicalc") : argument 'lib' is missing: using '/home/lmramba/R/i486-pc-linux-gnu-library/2.9'

Estimados Estoy entrenando hacer funciones que respondan a comandos, en esta caso en la salida gráfica se observa que dice : Exposure=var3 y outcome=var 1 quisiéramos que se reflejan los nombres de la base de datos : var1=estado, var2=cake, var3=chocolate Espero haberme explicado adecuadamente Adjunto tabla con datos #################################### #Comando que llama

En el libro EPICALC (pagina 229-230) en el que está el siguiente script, todo nos funciona bien, pero cuando vamos a life table, ya allí no avanza, lo señalamos en el script, por favor quizá se nos haya ido algún detalle, pero fuimos siguiéndolo por el libro paso a paso y no no hemos percatado Todos los de el paquete survival de la ayuda del R funcionan perfectamente

(cc'ing llvm-dev) Hello Gregory, i just recompiled llvm from scratch, and was able to build the ocaml kaleidoscope bindings. Did you know the llvm's build system already can compile the kaleidoscope tutorials for you? You can run this to build them: make BUILD_EXAMPLES=1 Or just cd into the examples directory in your build directory, and run "make" there. Anyway, I think the

#Imagino que hay un camino más corto para resolver mi duda #Adjunto unos datos en csv library (epicalc) #Gráficos exploratorios #este comando no se ejecuta porque no ve las variables summ(IMC, by=escolaridad ) ##?porqué no ve las variables? #tuve que hacer esto que me parece que se podría hacer de manera más sencilla IMC <- (sanda[,c(1)]) escolaridad <-

Hi, I am trying to calculate confidence intervals using ci.numeric from epicalc package. If I generate a normal set of data and find the 99% and 95% CI, they seem too narrow to me. Am I doing something wrong?? The IQR goes from -0.62 to 0.62, so I thought the CI limits should be more extreme than these values. x<- rnorm(200,0,1) ci.numeric(x=mean(x),n=200,sds=sd(x),alpha=0.05) n

Estimados Cuando existia epicalc, había una manera muy fácil de determinar la media de una variable (en esta caso Gain) por grupos, en este caso (Diet). ?Como se puede hacer ahora? Diet Gain 1 d1 270 2 d1 300 3 d1 280 4 d1 280 5 d1 270 6 d2 290 7 d2 250 8 d2 280 9 d2 290 10 d2 280 11 d3 290 12 d3 340 13 d3 330 14 d3 300 15 d3 300

Hola Jose, y podrias enviar algun link al libro o enviar esa parte escaneada ?? para minimizar la posibilidad de que haya algo en la transcripcion del script ... Slds, eric. On Fri 04 Oct 2013 01:59:33 PM CLT, daniel wrote: > José, > > La función survfit espera como argumento una fórmula. Al pie del help de la > función survfit dice: > > "Versiones anteriores del código

Estimados ¿Existe en R alguna manera de que las tablas de estadística descriptiva como las de codebook de epicalc, salgan en una tabla como las de SPSS ? Saludos José -- Nunca digas nunca, di mejor: gracias, permiso, disculpe. Este mensaje le ha llegado mediante el servicio de correo electronico que ofrece Infomed para respaldar el cumplimiento de las misiones del Sistema Nacional de

Estimados Queremos con el paquete FactoMineR hacer este tipo de tabla de mortalidad que lea los datos desde de una tabla csv Realizamos lo que viene en la ayuda y es muy interesante, sin embargo cuando mandamos a leer desde la tabla csv original de los autores no hace el análisis porque algo falta y no nos percatamos de que es. Adjunto tabla original Saludos cordiales #ESTO ES LO QUE