similar to: Contrast problem

Dear R listers Could somebody please advise me how to draw two empirical cumulative distribution functions on the same set of axes? I know I should be using the ecdf command but I'm not sure what to add to it to force it to plot twice on the axes Thanks Jane ______________________________________________________ Check out all the latest outrageous email attachments on the Outrageous Email

Hello all! Does anyone have a good howto to setup Asterisk and Skype. Thanks Gustavo A. Gonz?lez Dto. de Infraestructura Despegar.com, Inc. ggonzalez at despegar.com -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20080526/831b3824/attachment.htm

Hello! I?ve an issue whit CDR using asterisk 1.4.23.1. I?ve configured mysql to store cdr information, but, while I put into cdr_mysql.conf the field ?userfield=1? and doing a query I found that this field is empty in the cdr table. On the other hand I can?t find records in the cdr table that show me calls generated through AMI using Originate Action, that?s calls are not stored in the CDR, but I

Hello! I need to send Faxes from an Asterisk box to an Asterisk + Iaxmodem + Hylafax installed on other box. I have setup IAX trunks between this boxes, all works fine but can?t send faxes from one to other, Im trying with or without NVFaxDetect application but does not work. Is there a way to get it working?. If I connect a fax machine directly to Asterisk with Iaxmodem and Hylafax, I have no

Hello, I'm trying to create a data frame with three columns, one of which is a variable-length list. I tried: df <- data.frame(name = c("a", "b", "c"), type=c(1, 2, 3), rtn = c(list(1,2,3), list(4, 5,6), list(7,8,9, 10) ) ) This would be useful, for example, if the 'rtn' is a variable number of

Hi all! Im looking for 1ezphone to use as a web softphone but I?cant access to 1ezphone.com. Anyone knows what happened with this site?. Thanks! Gustavo A. Gonz?lez Dto. de Infraestructura Despegar.com, Inc. ggonzalez at despegar.com -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hello all, (Apologies in advance if my terminology is incorrect, I'm relatively new to R and statistics). I have data from a factorial design with two treatments (CRF-23), and I'm trying to compute treatment-contrast interactions through analysis of variance. I can't figure out how to do contrasts properly, despite reading the help for "C" and "contrasts"

As an R beginner, I feel brain dead today as I can not find the answer to a relatively simple question. Given a array of string values, for example lets say "mary", "bob", "danny", "sue", and "jane". I am trying to determine how to perform a logical test to determine if a variable is an exact match for one of the string values in the array

Hello, I've got what I'd expect to be a pretty simple issue: I fit an aov object using multiple error strata, and would like some significance tests for the contrasts I specified. In this contrived example, I model some test score as the interaction of a subject's gender and two emotion variables (angry, happy, neutral), measured at entry to the experiment (entry) and later

?contrast in the contrast package gives me the following description. However, I have no idea what Type II and III contrasts are. Could somebody explain it to me? And what does 'type' mean here? *?type?*: set ?type="average"? to average the individual contrasts (e.g., to obtain a Type II or III contrast)

Hola, ¿como están? Me encuentro haciendo un trabajo de Explotación de Información para la facultad y tengo un inconveniente a la hora de preparar los datos para poder operar con ellos. Tengo un atributo "Titulo Secundario" que cuenta con 139 valores diferentes (al final les dejo algunos de estos valores con la cantidad de ocurrencias de cada uno) y lo que quiero hacer es

How do we specify a contrast interaction matrix for an ANOVA model? We have a two-factor, repeated measures design, with Cue Direction (2) x Brain Hemisphere(2) Each of these has 2 levels, 'left' and 'right', so it's a simple 2x2 design matrix. We have 8 subjects in each cell (a balanced design) and we want to specify the interaction contrast so that: CueLeft>CueRght

Could anyone please explain how to set up contrasts between means in R. I want to know if "before I conduct an experiment and believe the mean for 1 and 2 will be different from means 3 and 4, Is this true?" That is what I have to prove or disprove, I thought that contrasts would be the way to go. Thanks for the help. Igor [[alternative HTML version deleted]]

Hi, For a n-level factor, I'd like to specify the first contrast and have the remaining n-2 constructed automatically so that the set is orthogonal. I then test the contrasts with summary.lm(anova-object). In S-Plus, the following works: >y.anova <- aov( y ~ C(CO2,c(1,0,-1)) ) >summary.lm(y.anova) In R, it fails with the following error: >levels(CO2) [1]

Hi all, Hopefully this is an easy question and I've overlooked something simple. I want to present specific contrasts in an ANOVA table. I can of course get the significance tests with summary.lm, but my adviser wants the results in ANOVA format. Here is a minimal example: > x <- factor(c(rep("condition.1", 5), rep("condition.2", 5), rep("condition.3", 5)))

Hi all, I looked for a function that would retrieve all(!) names of an arbitrary deeply nested named list. Also, names should optionally be arranged in a way that reflects the list's hierarchy structure (i.e. 'a$a.1$a.1.1' etc.) Also, there should be a recursive index linked to a respective list branch that could be used to index a list by names (as you would do with named vectors,

I'd like to make a less than full rank design using dummy variables for factors. Here is some example data: when <- data.frame(time = c("afternoon", "night", "afternoon", "morning", "morning", "morning", "morning", "afternoon", "afternoon"),

Hi! I would like to suggest to make it possible, in one way or another, to get meaningful contrast names when using contr.sum(). Currently, when using contr.treatment(), one gets factor levels as contrast names; but when using contr.sum(), contrasts are merely numbered, which is not practical and can lead to mistakes (see code at the end of this message). This issue was discussed quickly in 2005

Hi all, I have been trying to reproduce an analysis from Douglas Montgomery?s book on design and analysis of experiments. Table 6.10 of example 6.2 on page 246, gives a table as follows: > NPK <- expand.grid(A=mp,B=mp,C=mp,D=mp) > Rate <- c(45,71,48,65,68,60,80,65,43,100,45,104,75,86,70,96) > filtration <- cbind(NPK,Rate) > filtration A B C D Rate 1 - - - - 45 2

Hello, a have two matrices of data as below. I would like to add-up the duplicate in terms of pair of names in rows, and then merge the values in the second matrix to the pairs as two new variables x3 and x4. Input ,x1,x2 jane.mike,31,43 jane.steve,32,2 jane.steve,5,3 jim.mike,76,5 jane.steve,4,4 mike.steve,54,7 mike.steve,5,7 jane.mike,7,8 and ,y jane,0.3 jim,0.4 mike,0.1 carl,0.5 john,0.9