similar to: How to apply functions across columns?

Dear arun and all R users, I will first of all try to simply define my issue.. I have data in the following format Year Discharge dd/mm/yyyy x .. … … … There are some NA values in the discharge which I would like to predict by using “predict command”. I cant figure out the way to write the coding for that. Could you please help me on that??? I have also ,written

Hi Mr.Andrew Tridgell I did install Samba Server (Version 2.2.3a). All work perfectly. My users can work with share directories from WinNT and Win98. But ... I did all tests that you recommend, but test number 3 and test number 7 didn't work. I received message: # /usr/local/samba/bin/smbclient -L Israel-is Ld.so.1: /usr/local/samba/bin/smbclient: fatal: libreadline.so.4: open filed: No

R experts, How could I extract the week number from a date vector (in Date class) such that week numbering (week 1...2...) begins (May 01) and ends (October 31) on the same specific dates each year? Week numbering must conform to the following day numbering format (Sat=1,Sun=2,Mon=3.....Fri=7). This means that new weeks must begin on Saturdays, and end on Fridays (except for the first date

Hi, I'm analyzing a large number of large simulation datasets, and I've isolated one of the bottlenecks. Any help in speeding it up would be appreciated. `dat` is a dataframe of samples from a regular grid. The first two columns are the spatial coordinates of the samples, the remaining 20 columns are the abundances of species in each cell. I need to calculate the species richness in

What is the best way to upgrade to Python 2.6 from the default Python 2.4. I'm running CentOS 5 --> Linux mybox.domain.com 2.6.18-238.9.1.el5 #1 SMP Tue Apr 12 18:10:13 EDT 2011 x86_64 x86_64 x86_64 GNU/Linux I've read these horror stories online and don't want to break yum.

Una distribución binomial negativa podría ser adecuada. De hecho, una extensión de la binomial negativa, como la distribución de Waring generalizada, termina convergiendo a una distribución binomial negativa. Puedes ver que la mejora en la bondad del ajuste de la binomial negativa con respecto a la Poisson es sustancial (te muestro también las salidas.). datos<-c(1280, 1262, 1290, 1321,

Hello, when a call comes in and is answered by colleague A, this colleague A sees the CallerID of the external calling number. When colleague A transfers the call to colleague B, attended or unattended, then colleague B sees the number of colleague A on his screen while talking to the external calling number. I expect here that colleague B would see the external calling number on the screen

Hello all, here's a real-world example: I'm measuring a quantity (d) at five sites (site1 thru site5) on a silicon wafer. There is a clear site-dependence of the measured value. To find out if this is a measurement artifact I measured the wafer four times: twice in the normal position (posN), and twice rotated by 180 degrees (posR). My data looks like this (full, self-contained code at

Hello Since I got CentOS 6 I no longer have the tree view in Konqueror, and none of the other file managers have it. I believe this is because some plugin has not been ported to the new version of Konqueror. Please, is there a nice way to install the old Konqueror and its plugins on my CentOS 6 ? Thank you, Timothy Madden

I have a challenge that I want to share with the group. This is not homework (but I may assign it as such if I teach the appropriate class again) and I have found one solution, so don't need anything urgent. This is more for fun to see if others can find a better solution than I did. The challenge: I want to read a book in a given number of days. I want to read an integer number of

Dear all, I want to : 1. Estimate a weighted 2D kernel. 2. Paint a heatmap on a ggmap. Here is some reproducible data / code (I got it from the internet) : s_rit <- structure(list(score = c(45, 60, 38, 98, 98, 53, 90, 42, 96, 45, 89, 18, 66, 2, 45, 98, 6, 83, 63, 86, 63, 81, 70, 8, 78, 15, 7, 86, 15, 63, 55, 13, 83, 76, 78, 70, 64, 88, 61, 78, 4, 7, 1, 70, 88, 58, 70, 58, 11, 45, 28, 42,

Dear guRus: I am using lmer for a mixed model that includes a random intercept for a set of effects that have the same distribution, Normal(0, sig2b). This set of effects is of variable size, so I am using an as.formula statement to create the formula for lmer. For example, if the set of random effects has dimension 8, then the lmer call is: Zs<-

R experts, I am working with a fairly large data set comprised of 563 rows by 116 columns including several different modes. I have been unable to read in the data set completely using the read.table function and the RGui (i.e. nearly half the total number of rows are missing from the data set along with the column names). The data does read in fully using Tinn-R's Rterm; however, at several