similar to: Lowest number in a numeric string

I would like to know whether there is a faster way to do the below operation (updating vec1). My objective is to update the elements of a vector (vec1), where a particular element i is dependent on the previous one. I need to do this on vectors that are 1 million or longer and need to repeat that process several hundred times. The for loop works but is slow. If there is a faster way, please let

Full_Name: Stephen Eglen Version: 1.4 OS: Redhat Linux 7.1 Submission from: (NULL) (128.252.204.36) I think the brackets in the levels of cut() are slightly incorrect when include.lowest is TRUE. For example: > table(cut( c(1,4), include.lowest=T, right=F, breaks=c(1,2,3,4))) [1,2) [2,3) [3,4) 1 0 1 I think the last range in this case should be [3,4]. A similar problem

Hi all, I need to replace missing values in a matrix by 10 % of the lowest available value in the matrix. I've got a function I've used earlier to replace negative values by the lowest value, in a data frame, but I'm not sure how to modify it... nonNeg = as.data.frame(apply(orig.df, 2, function(col) # Change negative values to a small value, close to zero { min.val =

Hello, May someone help me with how in R I can rank a vector from highest to lowest. i.e rank 1 (smallest rank) is given to the highest value instead of the usual way that it get's the highest rank. Regards, Jessy [[alternative HTML version deleted]]

When preparing a series of histograms I found that hist was combining the two lowest categories or bins, 1 and 2. Specifying breaks, as illustrated below, resulted in the correct histogram: values <- sample(10,500,replace=TRUE) hist(values) hist(values,breaks = 0:10) Apparently, the number of values strictly less than 1 is shown in the first bin (and since none is less than 1,

hello all, I have a simple linear model with 4/5 variables that I am trying to fit. I would like to find the lowest AIC value with any combination of all the variables. I would like to implement this with a while/for loop. Possibly I would like to generalize this so then I can use it when I have many more variables. I do not want to use step AIC. At the moment I am doing it manually but I

Hi @ all, how do I get the largest or lowest k values of list? It must similar to the min() / max() function, but I just don't get it. Best wishes, Markus

I have been trying to get lowest-latency sound (with highest fidelity) to use with Dragon NaturallySpeaking. I have Jaunty and the latest RT kernel, which I know has problems for many applications but works fine to run DNS. (It will not, however, install the program nor train it.) I set up real-time audio access as follows: sudo su -c 'echo @audio - rtprio 99 >>

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hey Gang, I figured this is a frequently asked question, however it is not in the faq. i am wondering the lowest possible bit-rate to stream ogg at. is this an ogg limitation or is this dependent on the streaming server. Thanks in advance, (please reply to me too as i am not on the list.) <p>- -------------------------------------- Jeff

Dear R users,Sorry for such a basic question. I really need to know that how can i pick the indices of 5 lowest values from each row of a matrix with dimensions 12*12??Thank you very much in advance Elisa [[alternative HTML version deleted]]

I have a samba dc which i recently upgraded to 4.6.4. I was looking at updating the functional level as it currently returns: Forest function level: (Windows) 2000 Domain function level: (Windows) 2000 Lowest function level of a DC: (Windows) 2000 There is only a single DC (this host). According to the documentation 2000 isn’t even supported anymore:

Just a quick question. What is the lowest possible bit rate for encoding in stereo in opus? Peter

Hello, I'm dealing with financial time series. I'm trying to find out X in this sentence: The most recent close is the lowest level since X(date). Here's an example of what I'm looking for: library(fBasics) data(DowJones30) tail(DowJones30[,1:5],n=10) I need to come up with a vector that would look like this AA AXP T ... 2000-12-21

I have a vector of numbers, and I will like to find the positions of the lowest 20% of the values. Can anyhow point out how to do this. I tried the ecdf function but to no avail. -- Thanks, Jim. [[alternative HTML version deleted]]

Doing some basic sanity checks on our Samba4 setup (migrating off of a Win2000/Win2003 AD) and the following command is throwing an error. Not sure how to troubleshoot this as most other things seem to be working. # samba-tool domain level show ERROR: Could not retrieve the actual domain, forest level and/or lowest DC function level! ... We are running the Sernet Samba package for Active

Hello I am not really a statistic person, so it's possible i did something completely wrong... if this is the case: sorry... I try to get the best GLM model (with the lowest AIC) for my dataset. Therefore I run a stepAIC (in the "MASS" package) for my GLM allowing only two-variable-interactions. For the output (summary) I got a model with 7 (of 8) variabels and 5 interactions and

Hello everybody! I’m trying to define the optimal number of surveys to detect the highest number of species within a monitoring season/session. To do this I want to run all the possible combinations between a set of samples and to calculate the total number of species for each combination of 2, 3, 4 …n samples events, so that at the end I will be able to define which is the lowest number of

Not paying close attention to detail, I entered the equivalent of pstr<-c("b1=200", "b2=50", "b3=0.3") when what I wanted was pnum<-c(b1=200, b2=50, b3=0.3) There was a list thread in 2010 that shows how to deal with un-named vectors, but the same lapply solution doesn't seem to work here i.e., pnum<-lapply(pstr, as.numeric) or similar vapply

I'm running a linear model in R using the car package. I have a variable education, which i have recoded and regrouped to my wishes. However, R seems to place each element of that variable in alphabetical order. When I am running the model, don't I need the model order from lowest to highest to make an inference that a one unit change in one variable produced a one unit change in

Two posts in one day is not a good day...and this question seems like it should have an obvious answer: I have a matrix where rows are unique combinations of 1's and 0's: > combs=as.matrix(expand.grid(c(0,1),c(0,1))) > combs Var1 Var2 [1,] 0 0 [2,] 1 0 [3,] 0 1 [4,] 1 1 I want a single function that will give the row index containing an exact match