similar to: Multilevel analysis using nlme (lme) . Error using z-scores

Dear list, I get some strange results with daply from the plyr package. In the example below, the average age per municipality for employed en unemployed is calculated. If I do this using tapply (see code below) I get the following result: no yes A NA 36.94931 B 51.22505 34.24887 C 48.05759 51.00198 If I do this using daply: municipality no yes

I have a categorical variable with a nested structure. For example, region: a country is split into parts, which in turn contain provinces, which contain municipalities: Part -> Province -> Municipality North Province A Municipality 1 Municipality 2 Municipality 3 ... Province B Municipality 1 ... ... West Province A ...

Hi, I have upgraded the openssh (OpenSSH_4.6p1) on Solaris 8 server. After upgrading I am getting the below error messages when we execute the commands in remote systems using ssh. However the ssh works fine without any issue. Please let me know is there is any fix for it. Apr 2 03:05:39 hostname sshd[7294]: [ID 800047 auth.info] Accepted publickey for user from xx.xx.xx.xx port 32808

Dear all, I am trying to find the solution for the optimization problem focused on the finding minimum cost. I used the solution proposed by excel solver, but there is a restriction in the number of variables. My data consists of 300 rows represent cities and 6 columns represent the centres. It constitutes a cost matrix, where the cost are distances between each city and each of six centres. ..+

Hi, We have upgraded the openssh 4.6P1 on Solaris 8 servers. After upgrade we get the below error message whenever we execute the remote commands using ssh. Please let me know what the fix is for this. Apr 8 03:03:43 dvsrv10 sshd[25379]: [ID 800047 auth.info] Accepted publickey for osteam from 10.0.93.31 port 35856 ssh2 Apr 8 03:03:50 dvsrv10 sshd[25381]: [ID 800047 auth.error] error:

Hi, I've got a question regarding the restructering of a data set. What I have are municipality zip-codes and the names of 5'000 built-up areas within municipalities. The following example shows, what I would like to do: Input (Zip-Codes and Names): # CODE NAME #1 3 aaa #2 3 aab #3 3 aac #4 4 bba #5 4 bbb #6 4

Hi. Background - I am working with a dataset involving around 750K observations, where many of the variables (8/11) are unordered factors. The typical model used to model this relationship in the literature has been a simple linear additive model, but this is rejected out of hand by the data. I was asked to model this via kernel methods, but first wanted to play with the parametric

Hello Dear I need to select among 700 objects a good representative sample. These objects could be residential houses, commercial buildings, trucks, etc. How to get a good sample size and select a set of objects that is very representative. The second part of my question is to find a statistical model in R that detects objects that are most likely used as their owners told the municipality. For

Given a csv file from this location Airports<-"http://www.ourairports.com/data/airports.csv" download.file(Airports,basename(Airports)) airports <-read.csv("airports.csv",encoding="UTF-8") > airports[1,] id ident type name latitude_deg longitude_deg elevation_ft continent iso_country iso_region municipality scheduled_service 1 6523

Dear All, I have succesfully managed to have my kerberos configured n working without error when i say kinit Administrator and after entering password i get the # prompt so its works fine my krb5.conf -------------- [logging] default = FILE:/var/log/krb5libs.log kdc = FILE:/var/log/krb5kdc.log admin_server = FILE:/var/log/kadmind.log [libdefaults] default_realm = BALADIA.LOCAL

R2.13.2, W7x64 Dear list, Excuse my ignorance, but I have gone through the R help (?parse, ?eval, etc.) and still really don't know how to do the following. I have the general following structure that I would like to automate [edited to make it shorter]: >>> city1997 <- dataCleaning(read.csv2("C:\\city\\year1997.txt")) city1997 <- wasteCalculations(city1997, year

Dear All, I have been using -- shorewall-4.0.14-1 on Centos 5.2 and its been working just great. i would like to monitor shorewall traffic ( i mean the allowed and dropped traffic passing through my firewall )with a browser from any location apprecite if someone could help me or advice me which software or add on utility would do the above. really apprecite thanks nd regards simon

Hi! I've done a merging between 2 dataframes using merge(): delme <- merge(miDUNS50peqB,Bnomscodmunicipis,by.x="POBLACION",by.y="NOMMUNI",all.x=T,sort=F) After realizing some problems in the resulting dataset, I've found that the problem was that, in some cases, there was no match between the by.x and the by.y elements, despite the fact that, apparently, such

Hi, I tried to post in the windows newsgroup, but I didn't get replies because maybe there the users are not very conscious of what they are doing. ;-) I can't choose to go with samba (as I'd like best), because on the w2k server of the subject there are some windows application that doesn't work on linux or samba. Sorry if it's a FAQ, and if it is let me know where can I

I've found where the problem was and a way to solve this problem: One dataset was encoded (and read) as UTF-8 and the other one was encoded (en read) as latin3 In this case, even if at the terminal you see the same characters, R states that the two elements are not equal. Don't know if this is the way it has to be, or this is a bug. Anyway, editing the second file (encoded as latin3)

Buenas tardes. Tengo un data frame con el que me descargo una serie de datos municipalizados. Después extraigo los que corresponden al municipio que me interesa: paro.municipal <- paro.municipal[paro.municipal$provincia == "28" & paro.municipal$municipio == «115», ]. Todo correcto. El problema viene cuando quiero elegir más de un municipio: paro.municipal <-

This is the view municipalities.js.erb I have: <% list_opt = options_from_collection_for_select(@municipalities, :id, :name) %> <% puts list_opt %> #ok! list_opt contains the options $(''#municipality_id'').html(''<%= list_opt %>''); and this is the combobox in the view: ... Comune <select id="event_municipality_id"

Hi R-Users, I want to manipulate some strings in the following way. I have the following vector with spanish municipalities: municipios<-c("Allande", "Aller", "Amieva", "Avil?s", "Belmonte de Miranda", "Dega?a", "Franco (El)", "Gij?n", "Goz?n", "Grado", "Grandas de Salime",

Hi everyone, I am doing 5 years mortality predictive index score with survival analysis using a Cox proportional hazard model where I have a continous predictive variable and a right censored response which is the mortality, and the individuals were followed a maximum of 7 years. I'd like to asses the discrimination ability of survival analysis Cox model by computing a ROC curve and area

¿Existe alguna función en el paquete "sp" para crear un mapa de comarcas a partir de uno municipal? El "shp" de los municipios lo tengo… necesito crear el "shape" comarcal… Lógicamente tengo un data.frame con la variable "comarca"… Normalmente en google suelo encontrar estas cosas, pero en este caso estoy inusualmente muy perdido… Gracias de antemano.