similar to: factor or character

Hello R users, I'm working with a time-series of several years and to analyze it, I?m using GAM smoothers from the package mgcv. I?m constructing models where zooplankton biomass (bm) is the dependent variable and the continuous explanatory variables are: -time in Julian days (t), to creat a long-term linear trend -Julian days of the year (t_year) to create an annual cycle - Mean temperature

dear list, I have read a spss file with read.spss() now I have a list with all my variable stored as vectors. is it possible to selec cases based on the value of one or more variables? thank you, Simone

Hello Everyone - I want to print a number of results from lme function objects out to a txt file. How could I do this more efficiently than what you see here: out2 <- capture.output(summary(mod2a)) out3 <- capture.output(summary(mod3)) out4 <- capture.output(summary(mod5)) out5 <- capture.output(summary(mod6)) out6 <- capture.output(summary(mod7))

Buenas. A ver si a alguien se le ocurre cómo hacer este filtrado. Quiero seleccionar para cada GRUPO el numero de ORDEN más pequeño (que podría ser con wich.min(ORDEN)), pero sin que se repita la CLASE, de modo que si la CLASE-01 salió en el primer GRUPO ya no salga más.  GRUPO           ORDEN    CLASE        A       1   CLASE-01        A       2   CLASE-02        A       5   CLASE-03        B

Hello, I am building an Rails applications that has to integrate an legacy system (lxoffice) (schema at: http://www.lx-office.org/uploads/media/DB_Schema_2.1.1_R_393_17_03_2005_.pdf). They somehow use global ids (global for some tables). I can not change the schema and still I want to use Rails to access it and not pure SQL. When I try to insert a record I get the following message:

I''m using ActiveScaffold. In the file house_helper.rb I have written the code: def house_form_column(record, input_name) ... list = House.find(:all, :include => ''city'') new_list=... ... list do |element| if record = element.name selec=element.id end end select_tag ''X'',options_for_select(new_list, selected=selec),

yop, http://rubyonrails.org/api/classes/ActionView/Helpers/FormHelper.html ici j''ai vu qu''on pouvait g?n?rer des ?l?ment d''un formulaire gr?ce des m?thodes. Apres quelque petite recherches j''ai trouv? comment g?n?rer un select <%= select(''category'', ''category.id'', Category.find_all.collect {|category| category.nom})

Hi, I am seeing a >10x as slow performance when trying to complete a "send/receive" from an Outlook 2010 client to Dovecot via IMAP, but only when the LAN is fully loaded with other traffic, EG file copying. It seems the problem is when outlook is trying to identify folders that have changed since last "send/receive" thus traversing the hierachy. Observations: -

Hola a todos. Estoy atascado en un sitio que no me he encontrado antes, debe ser fácil y rápido, a ver si alguien me puede ayudar. Puesto fácil, tengo: > aa <- matrix(11:19,3,3) > aa [,1] [,2] [,3] [1,] 11 14 17 [2,] 12 15 18 [3,] 13 16 19 Quiero la fila cuyo primer elemento es 12 y el segundo 15. > aa[aa[,1:2] == (c(12,15)),] Error: (subscript) logical

Dear R-help members, Apologies - I am posting on behalf of a colleague, who is a little puzzled as STATA and R seem to be yielding different survival estimates for the same dataset when treating a variable as ordinal. Ordered() is used to represent an ordinal variable) I understand that R's coxph (by default) uses the Efron approximation, whereas STATA uses (by default) the Breslow. but we

I am trying to recreate the analysis of the recent Kirwan et al paper in Ecology [9(80), 2032-2032]. The SAS code is available but am having troubles getting the R equivalents. The SAS code is: *Model 5 - Species-specific interaction coefficients; PROC GLM; where N=150; MODEL YIELD=G1 G2 L1 L2 G1INT G2INT L1INT L2INT M / NOINT SOLUTION; *calculate the pairwise interaction coefficients;

I want to combine a selection of data from two tables and display it as list. Note that this isn''t a join. i''m looking for something like this: Table 1: Sheep Name, Age, Farmer, etc. (sheep specific columns) Table 2: Cows: Name, Age, Farmer, etc. (cow specific columns) For my display I nneed something like this: Farmer Jone''s Livestock: TYPE NAME AGE Cow

Hi, I am trying to use piecewise linear regression to approximate a nonlinear function. Actually, I don't know how many linear functions I need, therefore, I want build an array of regression models to automate the approximation job. Could you please give me any clue? Attached is ongoing code: rawData = scan("c:/zyang/mass/data/A01/1.PRN", what=list(numeric(),numeric())); len =

guys, 1)i made a mistake in my post. the said TF node was created when Selected() was called in ADDC node. 2) the source code under test short a,b; void test() { a+=b; } 3)the DAG after ADDC was seleced: Select node: 0x4977a20: ch,glue = <<Unknown Machine Node #65419>> 0x4972bd0, 0x49731d0, 0x4976c20, 0x49730d0<Mem:LD1[@a](align=2)> Result node: 0x4977a20: ch,glue =

Han-Lin I don't think I have seen a reply so I will suggest that maybe you could try a different approach than what you are thinking about doing. I believe the current best practice is to use the weights as a covariate in a regression model - and bytheway - the weights are the inverse of the probabilities of selection - not the probabilities. Fundamentally, there is a difficulty in making

hi Tim,guys, it was regarding splitting 16-bit ADDC to two 8-bit ADDC+ADDE. the 8-bit ADDE instruction is defined as: let Constraints="$dst=$op0",mayStore=1, hasSideEffects=0,neverHasSideEffects=1 in def ADDErm: myInstr <0x0, (outs Intregs:$dst) (ins Intregs:$op0,MEMi:$op1), "", [set IntRegs:$dest (adde IntRegs:$op0, (load ADDRi:$op1))] > very unlucky, this

Hi All; We would like to build a call center having 2 E1, but we would like to know which card to select: Sangoma or Digium? And card type to be PCI express or PCI 5.0V or PCI 3.3V ? Any advise or special recommendations for the call center? Regards Bilal