similar to: Calculateing means

Hi R community, I'm just starting out in R and have a basic question about xyplot and tables. Suppose I had a table of data with the following names: Height, Age_group, City. I'd like to plot mean Height vs Age_group for each City. When I try to do the following: > library(lattice) > xyplot(mean(Height) ~ Age_group | City) of course I get just one data point, the mean Height for

A small example before I begin my query: > educ <- read.table(efile, header=TRUE) > educ Education Age_Group Count 1 IncompleteHS 25-34 5416 2 IncompleteHS 35-44 5030 3 IncompleteHS 45-54 5777 4 IncompleteHS 55-64 7606 5 IncompleteHS >64 13746 6 CompletedHS 25-34 16431 7 CompletedHS 35-44 1855 8 CompletedHS 45-54 9435 9

Hoping someone can help me with xtabs and ftable. I'm trying to get a pair of ftables (possibly more) next to each other. For example: > dunhill_lights_xtab<-ftable(xtabs(grossedupobs ~ gender+age_group + dunhill_lights, data = ciggs)) > dunhill_lights_xtab dunhill_lights No Yes gender age_group Female

I have two CentOS servers running samba3-3.0.34-37. When I connect to a samba share from my Windows 2003 R2 servers, and then try to copy a file to it, I often get the message "target filesystem does not support long filenames." Sometimes it works and sometimes it doesn't. I've been fighting this problem for 2 years. I've replaced my Windows servers, changed my Windows

I have a simple linear model (fitted with lm()) with 2 independant variables : one categorical and one integer. When I run summary.lm() on this model, I get a standard linear regression summary (in which one categorical variable has to be converted into many indicator variables) which looks like : Estimate Std. Error t value Pr(>|t|) (Intercept) -3595.3 2767.1 -1.299

Hi List, My goal is to force R not to print in scientific notation in the sixth column (rel_diff - for the p-value) of my data frame (not a matrix). I have used the format.pval () and printCoefmat () functions on the data frame. The R script is appended below. This issue is that use of the format.pval () and printCoefmat () functions on the data frame gives me the desired results, but coerces

Hello friends and fellow R users, I have a problem to which I have been unable to find a solution: I am gathering survival data on patients undergoing treatment with a new kind of stent. I want to generate survival data and plot survival curves of these patients based (among other things) on the treating physician. My data set has been tabulated in the following manner: Date (the date the stent

I have an online doctor/dentist search. Right now I have all the code in one controller, with separate views and actions for the doctor and dentist. About 80% of the code in both the controller and the view is shared. Doctors and dentists are in separate tables with different (yet very similiar) schema''s. So the sql queries are different, and some of the information displayed in the

There are three DCs in my Windows 2003 AD domain, but I have noticed that only one of them is referenced in my krb.conf and krb5.conf. Should there be a reference to one or two of the other domain controllers? If the DC goes down, how will my Samba/Winbind servers authenticate? -- Eric Robinson Disclaimer - February 27, 2011 This email and any files

Ok, I''m hoping this won''t be a forehead slapper, but take a look at this code: physician.name.sub(/''/, "\\''") I''m trying to substitute a single quote with a backslash and a single quote. This seems pretty simple right? Well, someone kick me and tell me why it''s not :) Here''s what I''m getting if the

Dear all, I am stuck at applying loop function for creating separated plots. I have coding like below: dataset.table <- table(data.frame(var1=c(1,2,3,1,2,3,1),colour=c("a","b","c","c","a","b","b") )) kk = function(f) { ls=as.character(f) pie(dataset.table[ls,],main=ls)

Hi all, I am trying to convert a data set of physician death codings (each individual's cause of death is coded by multiple physicians) from long to wide format, but the "reshape" function doesn't seem to work because it requires a "time" variable to identify the sequence among the repeated observations within individuals. My data set has no order, and different

Hello friends of R list, Im a physician and Im not that good in statistics. I have posted similar email in the epi-sig list but no one aswered so far. Im cunducting a systematic review on two diagnostic test for a particular tropical disease. I found a free software that make most of the analysis called MetaDiSc. However there is a paticular analysis that I wuould like to try that it is not

Hello, I would like, if it is possible, to compare the effect of a variable across regression models. I have looked around but I haven't found anything. Maybe someone could help? Here is the problem: I am studying the effect of a variable (age) on an outcome (local recurrence: lr). I have built 3 models: - model 1: lr ~ age y = \beta_(a1).age - model 2: lr ~ age + presentation

Is there a way to associate text descriptions with variables in a data.frame? For example... Let's say that in my data.frame I have a variable named var1. var1 represents the responses to the question "When was the last time you saw your physician?" When I tabulate the variable var1 I'd like the output to be a bit more descriptive and contain the more descriptive

Hi Y'all, I am using the text mining package (tm). I am trying to filter out all of the words in a Term Document Matrix that are not in a list of words that I am interested in. I am using the following code: z<-tm_intersect(txt.dtm, c("communications", "safety", "climate", "blood", "surface", "cleanliness",

Hello friends and fellow R users, I have successfully tabulated and entered my survival data into R and have generated survival curves. But I would like to be able to determine what the survival rates are now at one month, three months, six months and one year. I have a data set, via.wall, which I have entered into R, and which generates the following Surv object: Surv(Days,Status==1) [1]

Hello R-helpers: I have data like this: sample replicate height weight age A 1.00 12.0 0.64 6.00 A 2.00 12.2 0.38 6.00 A 3.00 12.4 0.49 6.00 B 1.00 12.7 0.65 4.00 B 2.00 12.8 0.78 5.00 C 1.00 11.9 0.45 6.00 C 2.00 11.84 0.44 2.00 C 3.00 11.43 0.32 3.00 C 4.00 10.24 0.84 4.00 D

On my registration form I have a checkbox for a waiver. In the model I have the statement: validates_acceptance_of :waiver, :on => :create, :message => "must be accepted" In the view: <%= check_box_tag("waiver") %> <%= error_message_on "user", "waiver", "Waiver "%> For some reason validate is accepting everything when the

I am a physician examining an NHANES dataset available at the NCHS website: http://www.cdc.gov/nchs/about/major/nhanes/nhanes2005-2006/demo_d.xpt http://www.cdc.gov/nchs/about/major/nhanes/nhanes2005-2006/hdl_d.xpt http://www.cdc.gov/nchs/about/major/nhanes/nhanes2005-2006/tchol_d.xpt Thank you to the R authors and the foreign package authors in particular. Importing from the SAS export