search for: marry

Dear R-user, I have a data like this below, age <- c("young","mid","old") married <- c("no","yes") income <- c("low","high","medium") gender <- c("female","male") I want to make some of combination data like these, age.income.dat <- expand.grid(age,

?s 02:10 de 02/08/2024, Steven Yen escreveu: > Good Morning. Below I like statement like > > j<-grep(".r\\b",colnames(mydata),value=TRUE); j > > with the \\b option which I read long time ago which Ive found useful. > > Are there more or these options, other than ? grep? Thanks. > > dstat is just my own descriptive routine. > > > x > ?[1]

Good Morning. Below I like statement like j<-grep(".r\\b",colnames(mydata),value=TRUE); j with the \\b option which I read long time ago which Ive found useful. Are there more or these options, other than ? grep? Thanks. dstat is just my own descriptive routine. > x ?[1] "age"????????? "sleep"??????? "primary"????? "middle" ?[5]

Hi there, I am new to R and feel so bloody stupid. Abut in spite of a search of several hrs I could not find an answer to my problem. I have imported SPSS data to R, and apart from some warnings regarding duplicate labels, everything looks fine and names lists all my variables. Then I try to run a seqdef command - and get the error message below: > fam.seq<- seqdef(family_seq, var= c

...l script, por favor quizá se nos haya ido algún detalle, pero fuimos siguiéndolo por el libro paso a paso y no no hemos percatado Todos los de el paquete survival de la ayuda del R funcionan perfectamente ########################################### library(survival) library(epicalc) data(Marryage) use(Marryage) attach(Marryage) summ(Marryage) age <- endyr - birthyr label.var(age, "Age") summ(age, by = marital) age.marr <- maryr - birthyr label.var(age.marr, "Age at marriage") summ(.data[,8:9]) married <- marital == "Married"...

Dear R users, I have a problem, which I can not find a solution. Probably someone could help me? I have a result from my classification, like this > credit.toy [[1]] age married ownhouse income gender class 1 20-30 no no low male good 2 40-50 no yes medium female good [[2]] age married ownhouse income gender class 1 20-30 yes yes high male

...mos percatado >> >> Todos los de el paquete survival de la ayuda del R funcionan perfectamente >> >> >> >> ########################################### >> >> >> >> library(survival) >> >> library(epicalc) >> >> data(Marryage) >> >> use(Marryage) >> >> attach(Marryage) >> >> summ(Marryage) >> >> >> >> >> >> age <- endyr - birthyr >> >> label.var(age, "Age") >> >> summ(age, by = marital) >> >> &gt...

Would like wish to ALL a Marry Christmas and a happy new year, full of peace, love, happinesses and much success. That let us have one excellent year of 2008. Best Regards Josue Conti.

...o fuimos siguiéndolo por el libro paso a paso y no no hemos percatado > > Todos los de el paquete survival de la ayuda del R funcionan perfectamente > > > > ########################################### > > > > library(survival) > > library(epicalc) > > data(Marryage) > > use(Marryage) > > attach(Marryage) > > summ(Marryage) > > > > > > age <- endyr - birthyr > > label.var(age, "Age") > > summ(age, by = marital) > > > > age.marr <- maryr - birthyr > > label.var(age.marr, &qu...

Dear all, I have a data.frame that includes a series of demographic variables for a set of respondents plus a dependent variable (Theta). For example: Age Education Marital Familysize Income Housing Theta 1: 50 Associate degree Divorced 4 70K+ Owned with mortgage 9.147777 2: 65

in a database table if there is a field which has a certain set of fixed values. for example staus => {Single, Married, Divorced } OR state => {California, Albama, Olaska ...} so what should be preferred way out of the following for storing the values 1. Keep the field as "string(Rails)" VARCHAR(MySQL) itself ....and while showing the field just show the field value. 2. Keep

ScopedProxy uses with_scope and proxy objects to make it easy to find and count different types of records. Example: class Person < ActiveRecord::Base scoped_proxy :minor, :conditions => ''age <= 17'' scoped_proxy :adult, :conditions => ''age >= 18'' scoped_proxy :old, :conditions => ''age >= 70'' scoped_proxy :male,

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Dear all, I was wondering whether anyone knows about a program which converts (part of) a data definition file (such as a .dct file for stata, or .sas file for sas) into an R-script. Here is an example with a .sas file: <-- snipp VALUE HTYPE (default=32) 0 = "Not in household" 1 = "Married couple family household" 2 =

I have a puzzle.... When I include an interaction in the model, many predicted probabilities are above 1. Is that a problem with my model? I thought the predicted prob can't be bigger than 1... Any help would be really appreciated! Thanks! K. reg1<-glm(pyea~male+edu+married+inc+relig+factor(time)+ factor(time)*male, data=mydata, family=binomial(link="logit"))

I am given a text file of records to be converted into a table format. I have searched related topics or packages, but can't find any similar cases. Please help. Sample record is given below. Take note the last element doesn't have a semi colon. ###---------Start of record---------------------- Name : John Height: 170cm Weight : 70kg Age: 30 Status: Married Children: 2 Employment

Hello, I am a new user of R, so I still have some basic difficulties. I'm trying to create a bar graph completely from reading a file. The idea was on the x axis have the columns of the table Married ,Single,Divorced, widower the legend Ages 18-34 35-45 46-64 65-69 70-74 the dataset dataset Ages Married Single Divorced widower 1 18-34 10.5 35.7 8.5 3.2 2 35-45

Hi R People: Is there a way to put an abline line for its objects on a plot, please? I have an its object, ibm2, which runs from the January 2 through May 28. >ibm2 ibm 2004-01-02 91.55 2004-01-05 93.05 2004-01-06 93.06 2004-01-07 92.78 2004-01-08 93.04 2004-01-09 91.21 2004-01-12 91.55 2004-01-13 89.70 2004-01-14 90.31 2004-01-15 94.02 . . . I plot the data. No

Hello I am interested in Poisson or (ideally) Negative Binomial regression with an inflated number of 1 responses I have seen JK Lindsey's fmr function in the gnlm library, which fits zero inflated Poisson (ZIP) or zero inflated negative binomial regression, but the help file states that for ' Poisson or related distributions the mixture involves the zero category'. I had thought

Hi, I don't know if this has been covered or not as I have been out of action most of the last few weeks getting married and stuff. My query / slight problem is when I re-install an IMAP client or change client all mails that have been read so far show an empty header with the date set back to 1970 but the mails are fully readable. New mails that weren't read in a previous client show