similar to: How to find all single minima, i.e. only each one within each next part of analyzed vector (table)

Hi Arun, I have a question about choosing a subset of data. I have a matrix of 5000 in 3500. I want to choose specific variables such as proc1 to proc1000 and Lab1 to Lab1600 and put it into a new matrix to run some correlation analysis. Since I have 3500 variables, I don't know from what column my lab or procedures start. I really appreciate your help. Thanks.   Best,Farnoosh Sheikhi

Greetings, My name is Alceu and I was trying to create some scripts to enable/disable users when I found this strange behavior with the account flags: # please assume that the Unix user is already created root@midgard:~# smbpasswd -a -m lab16$ Added user lab16$. root@midgard:~# pdbedit -Lv lab16$ Unix username: lab16$ NT username: Account Flags: [W ] ... root@midgard:~#

Hi there, I use the surf.gls() function to fit a variable measured over a surface. When I plot the predicted surface, there are local minima/maxima in almost every coordinate where data were measured, which seems aberrant. For instance: ?? x <- c(343,293,343,243,293,343,443,543,593,243,293,343,393,443,493,543,593,143,193,243,293,343,393,443,

I have data in the form of (x,y) pairs and would like to find local minima and maxima (typically the zeros of the 2nd derivative) of the y values. I looked at numericDeriv, but I don't have an "expression" per se. I looked at optim, also, but it looks like it will find only one "global" max or min. I can code up my own piecewise derivatives, but wondered if there is

Hi, I have a data-matrix: > CB                    Zeit                Low 2   2011-05-02 08:05:05 7596.0 3   2011-05-02 08:10:06 7593.5 4   2011-05-02 08:15:11 7594.5 5   2011-05-02 08:20:15 7597.5 6   2011-05-02 08:25:18 7595.0 7   2011-05-02 08:30:20 7593.5 8   2011-05-02 08:35:21 7593.0 9   2011-05-02 08:40:21 7593.0 10  2011-05-02 08:45:25 7599.0 11  2011-05-02 08:50:34 7596.0 12 

Hello, I am trying to use optim() on a function involving a summation. My function basically is a thinned poisson likelihood. I have two parameters and in most cases optim() does a fine job of getting the minima. I am simulating my data based on pre specified parameters, so I know what I should be getting. However when my true parameters fall in a particular range, optim() gives

I am using numerical optimization to fit a 1 parameter model, in which the input parameter is bounded. I am currently using optimize(), however, the problem turns out to have local minima, and optimize does not always seem to find the global minimum. I could to write a wrapping function that tries multiple intervals or starting values, but I would prefer a package that has built-in methods to make

Hi, I am having a problem under safari with the above mentioned method. In my example document I have something like the following: <div id="label_2" class="lab15">Q1</div> <div id="label_6" class="lab15">Q1</div> <div id="label_10" class="lab15">Q1</div> <div id="label_14"

I am having some trouble getting the persp() package to change the x and y axis on a 3d plot. It defaults to the [0,1] interval and when I try to change it I get errors. Example: This works: ------------ D <- c(1,2,3,4,5,6,7,8,9,10) M <- c(11,12,13,14,15,16,17,18,19,20) DM <- cbind(D,M) persp(DM, theta = 40, phi = 30, expand = 0.5, col = "lightblue", ltheta = 120,

Dear User, thank for the attention. I have a data.frame with 5 columns (ex:ID, a1,a2,a3,a4) and 1000 rows. I wish to find the absolute max value for all data.frame and save a new data.frame with the row where is that value. Ex: ID: 1,2,3,4,5,6,7,8,9,10 a1:1,2,3,4,5,6,7,8,9,10 a2:11,12,13,14,15,16,17,18,19,20 a3:21,22,23,24,25,26,27,28,29,30 a4:31,32,33,34,35,36,37,38,39,40 The

Hi I have a question concerning regexp - I want to select with grep all character strings which contain the numbers 11:20 (code below). At the moment I am using [], but that obviously does not work, as it matches each element in the []. Is there a way to specify that the regexp should match 11, but not 1? Here is the code code: x <- paste("suff", 1:40, "pref",

Hi. I''m all set for doing performance comparsion between Solaris/ZFS and FreeBSD/ZFS. I spend last few weeks on FreeBSD/ZFS optimizations and I think I''m ready. The machine is 1xQuad-core DELL PowerEdge 1950, 2GB RAM, 15 x 74GB-FC-10K accesses via 2x2Gbit FC links. Unfortunately the links to disks are the bottleneck, so I''m going to use not more than 4 disks, probably.