search for: design2

Hi, Can somebody advice on weird mysqlWriteTable bug. > mysqlWriteTable(conn, 'comparison',design2, row.names = F, overwrite=T) Error in mysqlExecStatement(conn, statement, ...) : RS-DBI driver: (could not run statement: You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '"condition" text, treatme...

Dear WizaRds, having met some of you in person in Vienna, I think even more fondly of this community and hope to continue on this route. It was great talking with you and learning from you. Thank you. I am trying to work through an artificial example in post stratification. This is my dataset: library(survey) age <- data.frame(id=1:8, stratum=rep(

...ds") > library(foreign) > write.dta(data="data1", file = "D:/datasets/data1.dta") Error in write.dta(data = "data1", file = "D:/datasets/data1.dta") : The object "dataframe" must have class data.frame > class (data1) [1] "survey.design2" "survey.design" [[alternative HTML version deleted]]

...39;f','m') > b<-c(1:3) > st<-c(1:3) > data.frame(a,b,st) a b st 1 m 1 1 2 f 2 2 3 m 3 3 > data.frame(a,b,st)->l > p<-svydesign(ids=~1, data=l) > pop<-c('(intercept)'=100, st1=10,st2=20) > calibrate(p,~st, pop) Error in regcalibrate.survey.design2(design, formula, population, aggregate.stage = aggregate.stage, : Population and sample totals are not the same length. Thank you and have a great day! --------------------------------- [[alternative HTML version deleted]]

...ds") > library(foreign) > write.dta(data="data1", file = "D:/datasets/data1.dta") Error in write.dta(data = "data1", file = "D:/datasets/data1.dta") : The object "dataframe" must have class data.frame > class (data1) [1] "survey.design2" "survey.design" [[alternative HTML version deleted]] ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-...

R-help, Sorry for this question (I guess it has been addressed before but I could not find it in the archives) but how can I see a function code when the following comes up: > svymean function (x, design, na.rm = FALSE, ...) { .svycheck(design) UseMethod("svymean", design) } <environment: namespace:survey> Thanks in advance

Hi all, I have a question on the package « survey” I have some difficulties to use the function ‘calibrate’. Although it works well with one single factor variable, I cannot use it for 2 and get the message “Erreur dans regcalibrate.survey.design2(design, formula, population, aggregate.stage = aggregate.stage, : Population and sample totals are not the same length.” Here is the format I use as a data.frame: ecodiaMG[1:10, 71:73] age_cl1 sexe1 region1 1 MG_54 MG_H MG_NE 2 MG_54 MG_H MG_NE 3 MG_54 MG_H MG_NE...

...foreign) >> write.dta(data="data1", file = "D:/datasets/data1.dta") > Error in write.dta(data = "data1", file = "D:/datasets/data1.dta") : > The object "dataframe" must have class data.frame >> class (data1) > [1] "survey.design2" "survey.design" > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide h...

...ince I calculated the Taylor Series solution, i suppose there must be another approach? The calibration help page tells me to enter a list of population total vectors for each cluster, which would result in: dmulti3.cal <- calibrate(dmulti3, ~1, pop=c(100,50,75)) Error in regcalibrate.survey.design2(design, formula, population, aggregate.stage = aggregate.stage, : Population and sample totals are not the same length. I am very grateful for your help and wish you alle the best Yours mark

...EDAD_1=Edad_1,EDAD_2=Edad_2) # Corresponds to a transformation that you suggested me 2) mod.polti.ultico<-svyolr(APES~EDAD_1,EDAD_2,design=Muestra.comp.multi,method=c("logistic")) And this is the error that comes out (I could help resolve this error, please): Error en svyolr.survey.design2(APES ~ EDAD_1, EDAD_2, design = Muestra.comp.multi, : response must be a factor Thank you very much for your help. [[alternative HTML version deleted]]

...rake.svy <- rake(emp.svy, list(~Gender, ~Age), list(pop.gender, pop.age)) cal.svy <- calibrate(emp.svy, formula = list(~Gender, ~Age), population = list(pop.gender, pop.age), cal.fun = "raking") # Warning message: # In regcalibrate.survey.design2(design, formula, population, aggregate.stage # = aggregate.stage, :Sample and population totals have different names. # check weights--M and F seem reversed when "calibrate" used library(reshape2) check1 <- with(rake.svy, cbind(variables, weight = 1/prob)) dcast(check1, Gender~Age, s...

...lems. Consider this really basic custom function (that does not seem very different from the above code): this_is_a_test <-function(outcome, covariate) { svyby(~outcome, ~covariate, design=dhanes, svymean, na.rm=T) -> haha print(hah) } I get the following output: Error in `[.survey.design2`(design, nas == 0, ) : (subscript) logical subscript too long I really don't understand this because I haven't done anything too different. Before I can even start writing up the rest of the function, I have to settle this. Any ideas? -Roni [[alternative HTML version deleted]]

Version 3.9 of the survey package is now on CRAN. Since the last announcement (version 3.6-11, about a year ago) the main changes are - Database-backed survey objects: the data can live in a SQLite (or other DBI-compatible) database and be loaded as needed. - Ordinal logistic regression - Support for the 'mitools' package and multiply-imputed data - Conditioning plots,

Version 3.9 of the survey package is now on CRAN. Since the last announcement (version 3.6-11, about a year ago) the main changes are - Database-backed survey objects: the data can live in a SQLite (or other DBI-compatible) database and be loaded as needed. - Ordinal logistic regression - Support for the 'mitools' package and multiply-imputed data - Conditioning plots,

...------ Gold2 Disk tsweb Disk COVERPG$ Disk ... (and so on) -------output from `testparm -v`--------- # Global parameters [global] dos charset = CP850 unix charset = UTF-8 display charset = LOCALE workgroup = ROBOTRONICS realm = netbios name = DESIGN2 netbios aliases = netbios scope = server string = Software development interfaces = bind interfaces only = No security = DOMAIN auth methods = encrypt passwords = Yes update encrypted = No client schannel = Auto server schannel = Auto allow trusted domains = Yes hosts equiv = min pass...

I've noticed that R has a number of very useful functions for obtaining descriptive statistics on groups of variables, including summary {stats}, describe {Hmisc}, and describe {psych}, but none that I have found is able to provided weighted descriptives of subsets of a data set (ex. descriptives for both males and females for age, where accurate results require use of sampling