search for: marri

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, married[-c(2)], income, gender[...

...quot;middle" > ?[5] "high"???????? "somewhath"??? "veryh"??????? "somewhatm" > ?[9] "verym"??????? "somewhatc"??? "veryc"??????? "somewhatl" > [13] "veryl"??????? "village"????? "married"????? "social" > [17] "agricultural" "communist"??? "minority"???? "religious" > > colnames(mydata) > ?[1] "depression"???? "sleep"????????? "female" "village" > ?[5] "agricultura...

...ry"????? "middle" ?[5] "high"???????? "somewhath"??? "veryh"??????? "somewhatm" ?[9] "verym"??????? "somewhatc"??? "veryc"??????? "somewhatl" [13] "veryl"??????? "village"????? "married"????? "social" [17] "agricultural" "communist"??? "minority"???? "religious" > colnames(mydata) ?[1] "depression"???? "sleep"????????? "female" "village" ?[5] "agricultural"?? "marr...

...44","fseq2_45", + "fseq2_46", "fseq2_47","fseq2_48", "fseq2_49", "fseq2_50"), + alphabet =c("1","2","3","4","5","6","7","8"),labels=c("not left-never married-no children","not left -never married - at least 1 child","not left -has married-no children" , "not left - has married - at least 1 child","left - never married- no children" , "left - never married - at least 1 child","left - has marr...

...############################### 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" time <- ifelse(married, age.marr, age) (surv.marr <- Surv(time, married)) head(data.frame(age, age.marr, married, surv.marr)) . cbind(age, sex, age.marr, married, surv.marr)[order(time),] #NO PODEMOS AVA...

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 poor 2 20-30 no yes high male good 3 20-30 yes no lo...

...rryage) >> >> >> >> >> >> 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" >> >> time <- ifelse(married, age.marr, age) >> >> >> >> (surv.marr <- Surv(time, married)) >> >> head(data.frame(ag...

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.

...> 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" > > time <- ifelse(married, age.marr, age) > > > > (surv.marr <- Surv(time, married)) > > head(data.frame(age, age.marr, married, surv.marr)) > > . > >...

...(Theta). For example: Age Education Marital Familysize Income Housing Theta 1: 50 Associate degree Divorced 4 70K+ Owned with mortgage 9.147777 2: 65 Bachelor degree Married 1 10-15K Owned without mortgage 7.345036 3: 33 Bachelor degree Married 2 30-40K Owned with mortgage 7.974937 4: 69 Bachelor degree Never married 1 70K+ Owned with mortgage 7.733053 5: 54 Some college, les...

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 the field internally...

...oped_proxy :old, :conditions => ''age >= 70'' scoped_proxy :male, :conditions => ''gender = "male"'' scoped_proxy :female, :conditions => ''gender = "female"'' scoped_proxy :single, :conditions => ''married = 0'' scoped_proxy :married, :conditions => ''married = 1'' end Person.adult.find :all Person.single.find :all They can also be chained together. Person.single.female.find :all Person.old.male.count They can be used directly as shown above or the scoped proxy obje...

Latino Beauties are there http://qu.pe/ixG3

...ows 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 = "Male householder family" 3 = "Female householder family" 4 = "Male householder nonfamily" 5 = "Female householder nonfamily" 6 = "Group quarters&quot...

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")) reg2<-predict.glm(reg1, se.fit=T, data.frame(male=1, edu=1, married=1,inc=1, relig=1, type='response', YEAR=seq(1,33,1)) reg2$fit $fit 1 2 3 4...

...rmat. 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 Engineer ###---------End of record----------------------- Table format should have this header Name Height Weight Age Status Children 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 12.4 22.4 22.2 12.6 3 46-64 25.4 22.2 33.4 12.4 4 65-69 36.7 31.4 12.4 35.2 5 7...

...t;lines(zi,type="h",col=2) > Nothing happens. I tried creating another its object with NA in all but the zi places. Then I used lines(test1) Still nothing happened. Any suggestions would be much appreciated. R Version 1.9.1 Sincerely, Laura H mailto: lauraholt_983 at hotmail.com Married. http://lifeevents.msn.com/category.aspx?cid=married

...1 from all the counts and then fitting the ZIP or ZINB models, and then adding 1, but am not sure if this is legitimate, or if there is some better method. Contextual details: The dependent variable is number of primary sexual partners in the last year. The independent variables include a) Being married or in a committed relationship b) using hard drugs c) sex d) age N is c. 500 Not surprisingly, there are a large number of 1 responses, especially for those who are married or in a relationship. More surprisingly, the mean number of partners is the same (1.05 vs. 1.02) for people in and not...

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 fine. Could this be some...