search for: populations

I have columns in two tables that need to be compared in order to get a statistic. The function calculating the statistic is somers2. Here are the two columns I must calculate, row by row. name1 name2 1 Pred_pres_a_indpdt[,3,,] population[,23] 2 Pred_pres_b_indpdt[,3,,] population[,24] 3 Pred_pres_c_indpdt[,3,,] population[,25] 4 Pred_pres_d_indpdt[,3,,]

I have the following environment # cat /etc/redhat-release CentOS release 5.8 (Final) # uname -r 2.6.18-308.4.1.el5 I have installed smbldap-tools from http://download.gna.org/smbldap-tools/packages/el5/smbldap-tools-0.9.8-1.el5.noarch.rpm. Configured OpenLDAP, but when I try to populate LDAP directory I got the following error messages # smbldap-populate -a Administrator -g 10000 -l 11111 -r

# This is more about trying to find a more effecient way to code some simple vectorized computations using ifelse(). # Say you have some vector representing a factor with a number of levels (6 in this case), representing the location that samples were collected. Population <- gl( n=6, k=5,length=120, labels =c("CO", "CN","Ga","KO", "Mw",

Dear all, I have a data.frame like the sample below, and I would like to expand my data.frame using "population" variable. So, for each line of my data.frame I would like that the new data.frame have many rows as the population collumn. place<-c("place1", "place2", "place3", "place4", "place5") population<-c(100,200,300,50,30)

Hello, I have a simple question about using the aov function syntax (ie. * + or :) for the interaction of 2 factors. I have read the help files, and researched other sites, and have included my source files. My goal is to measure the signifigance of the interaction between population and condition (aka. population:condition). I can't seem to figure it out. 1. In the first example the

Dear Terry, Even the behaviour of lm() and glm() isn't entirely consistent. In both cases, singularity results in NA coefficients by default, and these are reported in the model summary and coefficient vector, but not in the coefficient covariance matrix: ---------------- > mod.lm <- lm(Employed ~ GNP + Population + I(GNP + Population), + data=longley) >

HI, sorry my english and if this is a stupid question i am newby in samba with ldap Im install a clear install the ubuntu 9.04 server follow this guide from ubuntu docs https://help.ubuntu.com/9.04/serverguide/C/samba-ldap.html https://help.ubuntu.com/9.04/serverguide/C/openldap-server.html but i get this error when i try to populate samba can somebody helpme? administrador@server:~$ sudo

Hi, I'm doing a function that describe two populations in competition. that's the function that i wrote: exclusao<-function(n10, n20, k1, k2, alfa, beta, t){ n1<-k1-(alfa*n20) n2<-k2-(beta*n10) if(t==0){plot(t, n10, type='b', xlim=range(c(1:t),c (1:t)), ylim=range(n10, n20), xlab='tempo', ylab='tamanho populacional...

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 [root@divide mdonada]# smbldap-populate Using builtin directory structure adding new entry: dc=auroraalimentos,dc=com,dc=br failed to add entry: modifications require authentication at /usr/sbin/smbldap-populate line 389, <GEN1> line 2. adding new entry: ou=Users,dc=auroraalimentos,dc=com,dc=br failed to add entry: modifications require

Hello, I'm working on using the LLVM JIT for a little project of mine, amazing work first off! I have a question about optimization passes. I initially have this function I've created, in python it looks like this: OS_end = 50OS_start = 0OS_timestep = 1birth_rate = .3population = 30.0for time in range(OS_start, OS_end, OS_timestep): births = birth_rate * population deaths = 0.1

Hi, I'm using redhat 8.0 samba-3.0 and smbatool-0.8.3. when i run smbldap-populat, i get the following errors [root@samba root]# smbldap-populate using builtin directory structure adding new entry: dc=nijacol,dc=net failed to add entry: Already exists at /usr/local/sbin/smbldap-populate line 384, <GEN1> line 2. adding new entry: ou=Users,dc=nijacol,dc=net failed to add entry: Already

# Thanks again to everyone who provided suggestions. # I was curious about which approaches would be the fastest... so a little benchmarking # My approach was by far the worst :) # The approach suggested by Duncan Murdoch and Peter Langfelder, based on indexing , was by far the fastest (~ 66times faster than using nested ifelse() ). All the details can be found below for those who are

...asic question but I really haven't found my answer yet in the archives.  I am trying to run a mixed effects model in R using the lme package. My experiment is such that I am interested in the effects of Temperature (2 levels) and Species (3 levels) on Growth. I collected individuals from three populations within each species. Because individuals within a population are potentially more similar to each other than individuals among populations, I want to include population as a random factor in my model.  I would have thought that I would structure the model as follows:  z<-lme(Growth~Temp*Specie...

On 6/16/2015 1:32 PM, Peter Meissner wrote: > Am .06.2015, 14:55 Uhr, schrieb Millot Gael <Gael.Millot at curie.fr>: > >> Hi. >> >> I have a problem with the default behavior of sample(), which performs >> sample(1:x) when x is a single value. >> This behavior is well explained in ?sample. >> However, this behavior is annoying when the number of

Dear r-devel list members, On a couple of occasions I've encountered the issue illustrated by the following examples: --------- snip ----------- > mod.1 <- lm(Employed ~ GNP.deflator + GNP + Unemployed + + Armed.Forces + Population + Year, data=longley) > mod.2 <- update(mod.1, . ~ . - Year + Year) > all.equal(mod.1, mod.2) [1] TRUE > > f <-

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi guys, I appear to have some issues with smbldap-populate, this used to work fine but I've recently upgraded the dev box from RH8.0 to Fedora Core 1, I assume it's related but I'm not sure exactly how... As you can see the first ou creates work, so it must at least be binding to the ldap server, but it seems to have a problem with the

From: Ville Syrjälä <ville.syrjala at linux.intel.com> This series first unifies all users of drm_atomic_helper_check_plane_state() to populate the clip rectangle with drm_mode_get_hv_timing(), and once everything is unified the clip rectangle handling is sucked into drm_atomic_helper_check_plane_state() away from driver code. Entire series available here:

Hi, I am new to R. I am trying to plot the decay of a population over time (0-50yrs). I have the initial population value (5000) and the mortality rate (0.26/yr) and I can't figure out how to apply this so I get a remaining population value each year. In excel (ignoring headings) I would put 5000 in A1, in B2 I would enter the formula A1*0.26, and then in A2 (the next years population) I

Hi guys, I am a biologist and an R newbie, and I'm learning how to create a simple population model. So, I have a population matrix ("pop")of 30 age classes of female (1:4 are non-breeders, 5:30 are breeders) which will be modelled for 100 years. > pop <- matrix(0,30,100) I then populate this matrix with 3 young adult females. > pop[5, 1] <- 3 I then want to run this

Hi all, I have data collected from a survey administered on a subset of the population. I also have the population proportions of variables such as gender, race and housing type. I would like to combine the weights from each separate cross tab (of gender, race and housing type) such that the weighted proportions of my survey data matches that of the population. I have tried the following: