search for: vaues

Hi all I am having troubles making sense of why code (1) below fails but code (2) below works. Code (1): > phi.1 <- 1 > plot(0 ~ 0, + main=substitute(paste("A vaue for ",phi," = ",phival), list(phival=phi.1)) ) Error in paste("The two deviances for ", phi, " = ", 2) : Object "phi" not found But this works: Code (2): >

Dear R Helpers, Is there any literaure available (including R code) on Fast Fourier Transform being used in CreditRisk+? I need to learn how to apply the Fast Fourier Transform. I agree I am too vaue in my question and sincerely apologize for the same, but I am not able to understand as to where do I start for this particular assignment. I tried to search google for CRAN and Fast Fourier

On Tuesday 25 September 2007 12:25, Evan Cheng wrote: > LLVM is assuming this: > struct InstrSlots { > enum { > LOAD = 0, > USE = 1, > DEF = 2, > STORE = 3, > NUM = 4 > }; > > So VNI->def is always modulo 2. For coalescing, it's checking if the > RHS is live at the "use"

On Tuesday 25 September 2007 13:28, David Greene wrote: > > So VNI->def is always modulo 2. For coalescing, it's checking if the > > RHS is live at the "use" cycle. So it's checking VNI->def-1. > > But why is it looking at a use slot in this case, where the coalescer is > trying to get the vaue number for the def of the RHS register so it can > use

...tests consisting of condition A,B,C,D side: left and right time: 1 to 10 I would like separate boxplots of the results (x) of the tests (numeric) for each group under each condition on each side over time. so far i have set it up like this: boxplot(test$x~test$time) this gives me the plot for all vaues of x in each time bin. basicaly i would need a command that tells R to include only the data that agrees with the group, condition, and side I set. something like boxplot(test$x~test$time) where test$group=1,test$condition=A,test$side=left can this be done? -- View this message in context: h...

LLVM is assuming this: struct InstrSlots { enum { LOAD = 0, USE = 1, DEF = 2, STORE = 3, NUM = 4 }; So VNI->def is always modulo 2. For coalescing, it's checking if the RHS is live at the "use" cycle. So it's checking VNI->def-1. Evan On Sep 25, 2007, at 8:55 AM, David Greene wrote: > On Tuesday

Hi All, I have the following dataset (triplicates values of 5 independent measurements and duplicate vaues of a control): 1 2 3 4 5 C 181.8 58.2 288.9 273.2 290.9 53.9 120.3 116.8 108.9 281.3 446 39.6 86.1 148.5 52.9 126 150.3 My aim was to find if mean values of Samples 1 - 5 are significantly...

Hi all, I am from India and has been recently using asterisk for testing and enahncing my telephony knowledge. I am trying to use the originate Command from the Asterisk manager on both SIP and ZAP. The command works successfully but does not return any DIALSTATUS such as BUSY,ANSWER,NOANSWER as in case of command DIAL when used from the dial plan. Can some one guide me how to get the vaue of

...this matters, but I'm using R 2.10.1 on Windows). to my questions: i've been using a lot of time about this minor concerns now and I hope you can help me... I use one- and two-sided t-tests. My questons are on one side about how R uses the hypothesis' and the second one is about p-vaues. First the one-sided: > t.test(var1,var2,paired=T,alternative="g") Paired t-test data: var1 and var2 t = 4.3456, df = 50, p-value = 3.401e-05 alternative hypothesis: true difference in means is greater than 0 95 percent confidence interval: 0.00825842 Inf sample...

We have SuSE SLES9 servers with LDAP master/slave replication (24 replications/BDC's) All working fine -joining domain etc. The problem I am having is PC's at remote sites (BDC) with a local replica (OpenLDAP) periodically change the sambaNTPassword/sambaLMPassword on there own and write to the local LDAP server and do NOT follow the referral to the master. I have written scripts to

...coefficient-values (=hazard rates) and exponentials of these (=hazard ratios) have been pretty small and "easy to handle" numbers, e.g. coefficient = 1.73 -> exp(coef) = 5.64. BUT mine are way bigger numbers as you can see from the summary output (above). And because they are so large vaues, they almost seem to not make any sense. Grateful for the help, R-girl -- View this message in context: http://r.789695.n4.nabble.com/Cox-proportional-hazard-model-and-coefficients-tp4636366.html Sent from the R help mailing list archive at Nabble.com.

"Please, consider that some SKUs have "-" in the middle, for example: "PG-9021". Then you need to include these in the list of patterns you gave. Try it again -- this time with a **complete** list. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his

Hey all, I know that this: Called id for nil, which would mistakenly be 4 -- if you really wanted the id of nil, use object_id means that I have an instance variable that has not been initialized. However, I''m a little confused as to what to do in a signup form for form_for: <% content_for :login do %> <% form_for @user, :url => { :action => "login" } do

Omar: I don't think this can work. For example number-letter patterns 4), 5), and 6) would all be matched by pattern 6). As Jeff indicated, you need to provide the delimiters -- what characters come before and after the SKU patterns -- to be able to recognize them. In a quick look at the text file you attached, the delimiters appeared to be either "-" or " " (blank) and

I am hoping for some advice on the following matters. I have a csv data file with 153 variables x 92 rows. To determine what the variables looked like I ran the summary command. One variable had a large number of missing values 54/92. For some reason, all subsequent 74 variables are reported as having 92 NA values, irrespective of whether the original csv variable was complete or not.

...------------------------ but here I lose track (lost patience:() of what is happening. I would like to have the predicted frailty terms _always_ when I have a frailty term in the model. What can I do? Or can someone explain in simple words what the rules are that decide whether I get the predicted vaues or not? G?ran -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help...

...f uint16_t? ? As far as my study during this error debugging it seems the value is looked from the cache file. However the cache file which is referred during configuration has presence of ? ac_cv_sizeof_uint32_t/ checking size of uint16_t? Could any one help me on understanding how and where the vaues are getting reffred for following condidtion? { $as_echo "$as_me:${as_lineno-$LINENO}: checking size of uint32_t" >&5 $as_echo_n "checking size of uint32_t... " >&6; } if ${ac_cv_sizeof_uint32_t+:} false; then : $as_echo_n "(cached) " >&6...

Dear r-help reader, I have some problems with the aggregate function. My datframe looks like >frame Day Time V1 V2 1 M 0 3 NA 2 M 0 4 NA 3 M 0 5 2 4 M 1 NA 4 5 M 1 10 6 6 T 0 4 45 7 T 1 4 3 8 T 1 3 2 9 T 1 6 1 I used the aggegate function to obtain the mean in V1 and V2 over the grouping variable Time and Day

Hello, I need some help with regex. I have this to sentences. I need to extract both "49MU6300" and "LE32S5970" and put them in a new colum "SKU". A) SMART TV UHD 49'' CURVO 49MU6300 B) SMART TV HD 32'' LE32S5970 DataFrame for testing: ecommerce <- data.frame(a = c(1,2), producto = c("SMART TV UHD 49'' CURVO 49MU6300",

Hello everyone, I know where is wrong. I forget to specify the parameters in my function. Thank you for anyone who was trying to help me! Best, Yen ?? b88207001 at ntu.edu.tw: > Hello everyone, > > It seems that I was not successfully attached the code. Here is the > code. I appreciate any help! > > Best, > Yen > > ?? b88207001 at ntu.edu.tw: > >> Hello