similar to: [Fwd: Compatibility]

===================================================================== "When you are courting a nice girl an hour seems like a second. When you sit on a red-hot cinder a second seems like an hour. That's relativity. Albert Einstein ===================================================================== Release Announcements ===================== This is the

===================================================================== "When you are courting a nice girl an hour seems like a second. When you sit on a red-hot cinder a second seems like an hour. That's relativity. Albert Einstein ===================================================================== Release Announcements ===================== This is the

==================================================================== "Laughter is inner jogging." Norman Cousins ==================================================================== Release Announcements ===================== This is is the latest stable release of Samba 3.6. Major enhancements in Samba 3.6.8 include: o Fix crash bug in smbd caused by a blocking lock

==================================================================== "Laughter is inner jogging." Norman Cousins ==================================================================== Release Announcements ===================== This is is the latest stable release of Samba 3.6. Major enhancements in Samba 3.6.8 include: o Fix crash bug in smbd caused by a blocking lock

I'm having the most curious error while using the sem package. For the model I'm working with, I keep getting the following error: Error in J[cbind(1:n, observed)] <- 1 : subscript out of bounds I''ve used debug=TRUE with sem, and there don't appear to be any problems with model - there are no latent variables in this model. The variables in the covariance matrix

Greetings, I am working in the sem package on a model with 3 exogenous variables (2 are nominal-categorical), and 4 endogenous, continuous variables. To use sem with the nominal variables, I created dummy variables. Now, in my sem output I have estimates for path coefficients for the relationship between each level of the nominal variables and the endogenous variables they are associated

typically, the apply family wants you to use vectors to run functions on. However, I have a function, kruskal.test, that requires 2 arguments. kruskal.test(Herb.df$Score,Herb.df$Year) This easily computes the KW ANOVA statistic for any difference across years.... However, my data has multiple sites on which KW needs to be run... here's the data: Herb.df<-

I have created a list of tables with the same columns but different number of row. Example (actual list has ~200 elements): > temp1<- data.frame(ID=c("Herb","Shrub"),stat=c(4,5),pvalue=c(.03,.04)) > temp2<- data.frame(ID=c("Herb","Shrub", > "Tree"),stat=c(12,15,13),pvalue=c(.2,0.4,.3)) > L<-list(a=temp1,b=temp2) > L $a

Hi all, I was just wondering if this is the intended behavior. Here is my setup: controller def index respond_to do |f| f.xml { render :xml => true } f.html { render :layout => :none } end end In my views I have a file for each type index.herb index.xerb The first request I send is cached and interferes with the other one. For example, if I send an xml request

Recently, I ran a series of Kruskal-Wallace tests [kruskal.test()] using by() to group by site Output is a list: >Herb.KW Herb.df$ID: 10-1 Kruskal-Wallis rank sum test data: Indicator_Rating by Year Kruskal-Wallis chi-squared = 15.24, df = 7, p-value = 0.03302 ----------------------------------------------------------------------------------------------------- Herb.df$ID: 18-1

=================================================================== "I'm desperately trying to figure out why kamikaze pilots wore helmets." Dave Edison ================================================================== Release Announcements ===================== This is the latest stable release of Samba 3.6. Major enhancements in Samba 3.6.1 include: o Fix

=================================================================== "I'm desperately trying to figure out why kamikaze pilots wore helmets." Dave Edison ================================================================== Release Announcements ===================== This is the latest stable release of Samba 3.6. Major enhancements in Samba 3.6.1 include: o Fix

I am trying to run the power.t.test function to calculate sample size for a data frame of variances (i.e, 228 rows x 4 cols). Many of the fields are missing values, which crashes the function. I have tried na. options in the function, but the function doesn't recognize them. I have also tried an if-else loop to skip over fields with missing values. How can I deal with these missing

I want to make a log-log plot with a regression line, but I can't figure out what I'm doing wrong. What I'm trying is: plot(mass,area, log="xy", pch=as.numeric(food)) abline(lm(mass~area)) or plot(mass,area, log="xy", pch=as.numeric(food)) islands$logmass <- log(mass) islands$logarea <- log(area) attach(islands) abline(lm(logmass~logarea)) But that does

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ================================================================ "Always keep an open mind and a compassionate heart." Phil Jackson ================================================================ Release Announcements ===================== This is a bug fix release of the Samba 3.2 series. Major enhancements included in

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ================================================================ "Always keep an open mind and a compassionate heart." Phil Jackson ================================================================ Release Announcements ===================== This is a bug fix release of the Samba 3.2 series. Major enhancements included in

hi scott! well here is my smb.conf ... : (now linux is my wins server) # Samba config file created using SWAT # from 0.0.0.0 (0.0.0.0) # Date: 2003/05/06 15:57:41 # Global parameters [global] workgroup = SCIENCEU netbios name = TT security = DOMAIN encrypt passwords = Yes password server = srv-win-2000 ; wins server = 11.1.9.100 wins support = yes winbind uid = 10000-20000 winbind

If I have a data frame where a species occupies several rows with different phases such as (both col's ar factors): species,phase Populus tremula,1 Populus tremula,2 Populus tremula,3 Calluna vulgaris,1 Calluna vulgaris,2 Betula alba,1 Betula alba,2 Betula alba,3 Primula veris,1 Primula veris,2 and another df where each species only have one row: species,growth_form Populus tremula,tree Acer

Dear list members, When I create a simple scatterplot with a regression line (se below) the line is automatically extrapolated outside the range of data points. Why is this and how can I prevent R from extrapolating the regression line? Thank you in advance, Johan model<-lm(Herb~Para) plot(Para,Herb) abline(model)

I have run a kruskal.test() using the by() function, which returns a list of results like the following (subset of results): Herb.df$ID: 4-2 Kruskal-Wallis chi-squared = 18.93, df = 7, p-value = 0.00841 -------------------------------------------------------------------- Herb.df$ID: 44-1 Kruskal-Wallis chi-squared = 4.43, df = 6, p-value = 0.6187 So then, how do extract a vector