search for: education

Hi Rowland, Sorry to inform that none of thus packages solve my problem. But today, with some Tranquil.it helps, I have some news: - Upgrade from 4.11.14 -> 4.12.9 is OK - Upgrade from 4.12.9 -> 4.13.2 : problem is present with Tranquil.it AND Louis package - Fresh install + member join with 4.13.2 is OK (Centos AND Buster packages) Problem only occur when upgrading member to 4.13.2 with

...list(levels, levels)) cont[col(cont) == row(cont)] <- 1 } cont } > library(car) . . . > data(Prestige) > attach(Prestige) > contrasts(type) <- "contr.Treatment" > > lm(prestige ~ (income + education)*type) # default behaviour Call: lm(formula = prestige ~ (income + education) * type) Coefficients: (Intercept) income education typeprof typewc 2.275753 0.003522 1.713275 15.351896 -33.53665...

I'm in this situation: factorlabels <- c("School", "College", "Beyond") with data for 8 families: education.man <- c(1,2,1,2,1,2,1,2) # Note : no "3" values education.wife <- c(1,2,3,1,2,3,1,2) # 1,2,3 are all present. My goal is to create this table: School College Beyond Husband 4 4 0 Wife...

I'm running a linear model in R using the car package. I have a variable education, which i have recoded and regrouped to my wishes. However, R seems to place each element of that variable in alphabetical order. When I am running the model, don't I need the model order from lowest to highest to make an inference that a one unit change in one variable produced a one unit chan...

Hello ! I have just upgraded 40 x Samba domain member file server from 4.11.14 to 4.13.2 - No problem with 20 x domain member that are in a unique Samba domain (only samba DC) - But for my other domain (with composed of Windows 2016 DC), all of 20 x Samba domain member failed to desserve file after this upgrade :-/ I have triple check /etc/hosts, hostname, krb5 etc .... And

...31 17:34:44, 5] libads/ldap.c:ads_try_connect(123) - ads_try_connect: trying ldap server 'SRV_SIRIO' port 389 -[2006/07/31 17:34:44, 3] libads/ldap.c:ads_connect(285) +[2006/07/31 17:43:26, 5] libads/ldap.c:ads_try_connect(127) + ads_try_connect: sending CLDAP request to SRV_SIRIO (realm: EDUCATION) +[2006/07/31 17:43:26, 5] lib/gencache.c:gencache_init(60) + Opening cache file at /var/cache/samba/gencache.tdb +[2006/07/31 17:43:26, 3] libads/ldap.c:ads_connect(287) Connected to LDAP server 192.168.0.2 ... -[2006/07/31 17:34:44, 3] libads/ldap.c:ads_server_info(2469) - got ldap server na...

Greetings, Can anyone suggest me if we can vectorize the following problem effectively? I have two datasets, one dataset is portfolio of stocks returns on a historical basis and another dataset consist of a bunch of factors (again on a historical basis). I intend to compute a rolling n-day sensitivitiesfor each stock for each factor, so the output will be a data frame with

A small example before I begin my query: > educ <- read.table(efile, header=TRUE) > educ Education Age_Group Count 1 IncompleteHS 25-34 5416 2 IncompleteHS 35-44 5030 3 IncompleteHS 45-54 5777 4 IncompleteHS 55-64 7606 5 IncompleteHS >64 13746 6 CompletedHS 25-34 16431 7 CompletedHS 35-44 1855 8 CompletedHS 45-54 9435 9 CompletedHS 55-6...

Hi, I'm new to R, and I'm STATA user before, could you help me where I can get document about comparison command between STATA and R. Thank you very much, Best regards, -iip-

Hello: I have a 4-column dataset: Crime, Education, Urbanization, Age. I want to construct a multiple linear regression to find the effect of Education, Urbanization, and Age on Crime" lm(Crime ~ Education + Urbanization + Age) If I use + in above statement, does it mean it will build a model to find the relationship between Crime and Educat...

On 23/11/2020 17:37, MORILLO Jordi via samba wrote: > Hi Rowland, > Sorry to inform that none of thus packages solve my problem. > > But today, with some Tranquil.it helps, I have some news: > > - Upgrade from 4.11.14 -> 4.12.9 is OK > - Upgrade from 4.12.9 -> 4.13.2 : problem is present with Tranquil.it AND Louis package > - Fresh install + member join with 4.13.2 is

...f tables for all the variables in my data, how can I do that without having to type them into the table command one by one. So, I would like to use (t? s? r?)apply to use one command instead of the following set of table commands: data(infert, package = "datasets") attach(infert) table.education<-table(education) table.age<-table(age) table.parity<-table(parity) etc. To make matters worse, what I subsequently need is the chi-square for each and all of the pairs of variables. Such as: chi.education.age<-chisq.test(table(education,age)) chi.education.parity<-chisq.test(tab...

...ng model.frame(), but the source of the error is the same.) The problem is technical and concerns the design of poly(), which is why I'm sending this message to r-devel rather than r-help. To illustrate: ------------ snip ------------- > mod.pres <- lm(prestige ~ log(income, 10) + poly(education, 3) + poly(women, 2), + data=Prestige) # Prestige data from car package > predict(mod.pres, newdata=data.frame(education=10, income=6000, women=30)) # works 1 39.66414 > model.frame(delete.response(terms(mod.pres)), data.frame(education=10, income=6000, women=30))...

...question. I just downloaded R 2.6.0. I want to bring in all of the objects from 2.5.0 that I see when I type ls(). I have no idea how to do that. Thanks in advance. David -- ======================================================================= David Kaplan, Ph.D. Professor Department of Educational Psychology University of Wisconsin - Madison Educational Sciences, Room 1061 1025 W. Johnson Street Madison, WI 53706 email: dkaplan at education.wisc.edu Web: http://www.education.wisc.edu/edpsych/facstaff/kaplan/kaplan.htm Phone: 608-262-0836 Fax: 608-262-0843

Hello Rui, Thanks for your helpful suggestions. Just for illustration, let's use the well known Duncan dataset of prestige vs education + income that is contained in the "car" package. Suppose I wish to use boot function to bootstrap a linear regression of prestige ~ education + income and use the following script: duncan.function <- function(data, indices) {data = data[indices,] mod <- lm(prestige ~ education +...

...nt just to illustrate the problem): > fun <- function(model){ + expand.model.frame(model, all.vars(formula(model))) + } > and I have the following model, created with an explicit data argument: > mod Call: lm(formula = prestige ~ income + I(education^2), data = Prestige) Coefficients: (Intercept) income I(education^2) 15.129723 0.001262 0.188479 Here fun() works fine, adding education from the data frame Prestige to the model frame: > fun(mod) prestige income I(...

...r[k,3]<-FALSE; } } colnames(womensrole.factor)[3]<-'agree'; ## summary(womensrole.factor) ## sum(womensrole$agree) ## sum(womensrole$disagree) ##Two dataset will report same prediction, Chisq and different sample size, residual deviance, ... fm2 <- cbind(agree,disagree) ~ sex * education; womensrole_glm_2 <- glm(fm2, data = womensrole, family = binomial()); womensrole.factor_glm_2 <- glm(agree~sex*education, data = womensrole.factor, family = binomial()); ## Same prediction myplot <- function(role.fitted) { f <- womensrole$sex == "Female" plot(womensrole$edu...

...ession would be the same for two different groups contained in the dataset for the regression. When I put that question into google, AI returned a very nice looking answer (and a couple of variations on it). library(car) data <- data.frame(income = c(30, 45, 50, 25, 60, 55), education = c(12, 16, 14, 10, 18, 16), gender = c("Male", "Female", "Male", "Female", "Male", "Female")) model <- lm(income ~ education * gender, data = data) # Test if the beta for "education" is significantly differ...

Dear R-Devel, I have had it in my mind for some time now that a Task View related to R and education might be a good thing. There are currently 19 Task Views, covering a broad spectrum of general topics for which R may be used. The homepage lists 64 books related to R, and several of them have accompanying packages on CRAN. There is a wiki and a host of contributed documentation. We also have a...

...erns and perhaps also provide imputation procedures, such as mean imputation or hot deck imputation and the like. Is there anything out there? Thanks in advance, David -- =========================================================================== David Kaplan, Ph.D. Professor Department of Educational Psychology University of Wisconsin - Madison Educational Sciences, Room, 1061 1025 W. Johnson Street Madison, WI 53706 email: dkaplan at education.wisc.edu homepage: http://www.education.wisc.edu/edpsych/facstaff/kaplan/kaplan.htm Phone: 608-262-0836