search for: wage

...RJSON packages, but they require that the lines be pre-parsed somehow in ways I don't understand. Can someone help? > wheat <- readLines("http://mbostock.github.com/protovis/ex/wheat.js") > str(wheat) chr [1:70] "var wheat = [" " { year: 1565, wheat: 41, wages: 5 }," ... > The wheat.js file looks like this and defines two tables: wheat and monarch: var wheat = [ { year: 1565, wheat: 41, wages: 5 }, { year: 1570, wheat: 45, wages: 5.05 }, { year: 1575, wheat: 42, wages: 5.08 }, { year: 1580, wheat: 49, wages: 5.12 }, { year: 1...

Hi, I am new to R. My problem is with the ordered logistic model. Here is my question: Generate an order discrete variable using the variable wrwage1 = wages in first full calendar quarter after benefit application in the following way: * wage*1*Ordered *= 1 *if*0 *· wrwage*1 *< *1000 2 *if*1000 *· wrwage*1 *< *2000 3 *if*2000 *· wrwage*1 *< *3000 4 *if*3000 *· wrwage*1 *< *4000 5 *ifwrwage*1 *¸ *4000. Estimate an order logi...

Suppose we observe N individuals, for each of which we have a time-series. How do we correctly create a lagged value of the time-series variable? As an example, suppose I create: A <- data.frame(year=rep(c(1980:1984),3), person= factor(sort(rep(1:3,5))), wage=c(rnorm(15))) > A year person wage 1 1980 1 0.17923212 2 1981 1 0.25610292 3 1982 1 0.50833655 4 1983 1 -0.42448395 5 1984 1 0.49233532 6 1980 2 -0.49928025 7 1981 2 0.06842660 8 1982 2 0.65677575 9 1983...

Dear all, I have 1980~1990 eleven datas, every year have three variables, wage gender(1=female, 2=male) race(1=black, 2=white) My original commands is: fig2b<-reldist(y=mu1990$wage,yo=mu1980$wage,.......) I have three questions: 1. If I want to appoint y=women's wage in 1990 yo=women's wage in 1980 2. If I want to appoint y=wo...

I am trying to simulate the trajectory of the pension assets of one person. In C-like syntax, it looks like this: daily.wage.growth = 1.001 # deterministic contribution.rate = 0.08 # deterministic 8% Wage = 10 # initial Asset = 0 # initial for (10,000 days) { Asset += contribution.rate * Wage # accreting contrib...

Hello list, I'm following the paper (http://www.jstatsoft.org/v27/i02/paper) on how to use "plm" to run panel regressions, and am having trouble with what I believe should be something very basic. When I run the command (p.9 in the paper): R> dynformula(emp~wage+capital,log=list(capital=FALSE,TRUE),lag=list(emp=2,c(2,3)),diff=list(FALSE,capital=TRUE)) I see: emp ~ wage + capital rather than the complete model that is given in the paper: log(emp) ~ lag(log(emp), 1) + lag(log(emp), 2) + lag(log(wage), 2) + lag(log(wage), 3) + diff(capital, 2) + diff(capi...

...mmands and it was a little over my head. I have a dataset with 4 columns, name, type, value, and cost. The set consists of a list of people, which have 3 types. I want to choose 6 people, two of each type, and maximize the sum of their values. However, I'm subject to the constraint that the wage of the three people has to sum to less than 20 dollars. Here is some sample data. people <- c("A", "B", "C", "D", "E", "F", "G", "H", "I") type<- c(1, 1, 1, 1, 2, 2, 3, 3, 3) value<-c(25.20, 24, 38,...

...eiber, and Achim Zeileis, I am attempting to run various independent variable parameters to assess their suitability. Unfortunately, I hit a snag and couldn't get the tests to run properly. When I used ivreg, I got an error message saying: "Error in eval(predvars, data, env) : object 'WageInequality' not found." Can you please help? Model: numeric(WageInequality) = numeric(EffectiveMinimum) + numeric(EffectiveMinimum2) (whereas EffectiveMinimum2 is the quadratic form of EffectiveMinimum) Instruments: numeric(`Log Real Minimum Wage`) + numeric(`Log Real Minimum Wage2`) + n...

Como usas la función image puedes consultar la ayuda ?image o help(image) y encontrarás el siguiente ejemplo donde se usa un diferente color Palette (mencionada por pepeceb en su respuesta). x <- 10*(1:nrow(volcano)) y <- 10*(1:ncol(volcano)) image(x, y, volcano, col = terrain.colors(100), axes = FALSE) # O puedes usar directamente el número para indicar el color image(x, y, volcano, col =

Hello, I have a set of data including age, wage and education level each called age76, wage76 and grade76 I want to know how i can calculate the average wage of people age 15 to 65 (each year separetly) , only for those who have an education level of 10 12 and 16... -- View this message in context: http://r.789695.n4.nabble.com/Conditional-ave...

Hi, I'm trying to do a regression like this: wage.r = lm( log(WAGE) ~ log(EXPER) where EXPER is an integer that goes from 0 to about 50. EXPER contains some zeros, so you can't take its log, and the above regression therefore fails. I would like to make R accept log(0) as 0, is that possible? Or do I have first have to turn the 0's int...

Hello, Hierarchical factors are a very common data structure. For instance, one might have municipalities within states within countries within continents. Other examples include occupational codes, biological species, software types (R within statistical software within analytical software), etc. Such data structures commonly use hierarchical coding systems. For example, the 2007 North

...d '.' whereas '.a' and '.b' etc are treated as missing too, but can all be distinguished from another (they are even ordinal such that . < .a < .b). To give a simplistic example in R, let > dat <- data.frame( + hours = c(36, 40, 40, 0, 37.5, 0, 36, 20, 40), + wage = c( 15.5, 7.5, 8, -1, 17.5, -1, -2, 13, -2)) > dat hours wage 1 36.0 15.5 2 40.0 7.5 3 40.0 8.0 4 0.0 -1.0 5 37.5 17.5 6 0.0 -1.0 7 36.0 -2.0 8 20.0 13.0 9 40.0 -2.0 where for wages -1 indicates "didn't work" and -2 indicates "refused to respond". How...

...mean sample from comparison distribution yo mean sample from reference distribution but I would like to compare more than two years ( A total of fifteen years, from 1979, 1981, 1983, 1985..........to 2007) how should I correct my programs in the below, then I can compare fifteen years's wage distribution? fig2b <- reldist(y=mu1981$b1,yo=mu1979$b1,ci=F,smooth=0.4, yowgt=mu1979$weight2,ywgt=mu1981$weight2, bar=TRUE, yolabs=seq(-1,3,by=0.5), ylim=c(0,2.5),cex=0.8, ylab="Relative Density",...

Por favor ver comentario con las las letras mayúsculas data("CPS1985", package = "AER") cps <- CPS1985 cps [1:10,] dim( cps) names( cps) library("quantreg") #regresion usual cps_lm <- lm(log(wage) ~ experience + I(experience^2) + + education, data = cps) #regresion por quantiles, tau son los cuantiles seleccionados cps_rq <- rq(log(wage) ~ experience + I(experience^2) + + education, data = cps, tau = seq(0.2, 0.8, by = 0.15)) #we compute p...

...nalyze the UK Employment Data. I am trying to replicate Roodman's results for the UK Employment data using R instead of Stata but I am having limited success. Using: >library('plm') >data("EmplUK", package = "plm") >emp.plm <- plm(dynformula(emp ~ wage + capital + output, lag = list(2, 1, 2, 2), log = TRUE), EmplUK, effect = "time") >summary(emp.plm) I am able to perfectly replicate Roodman's "naive model" (on page 17) regressing Log(Employment) on its own first and second lags as well as current and first lags...

...> > I am attempting to run various independent variable parameters to assess > their suitability. Unfortunately, I hit a snag and couldn't get the tests to > run properly. When I used ivreg, I got an error message saying: "Error in > eval(predvars, data, env) : object 'WageInequality' not found."? > Can you please help? > Model: numeric(WageInequality) = numeric(EffectiveMinimum) + > numeric(EffectiveMinimum2) > (whereas EffectiveMinimum2 is the quadratic form of EffectiveMinimum) > > Instruments: numeric(`Log Real Minimum Wage`) + numeric(...

...sically, here are the R commands (reproducible example) from that site: # ------ begin R library(AER) library(lmtest) data("CollegeDistance") cd.d<-CollegeDistance simple.ed.1s<- lm(education ~ distance,data=cd.d) cd.d$ed.pred<- predict(simple.ed.1s) simple.ed.2s<- lm(wage ~ urban + gender + ethnicity + unemp + ed.pred , data=cd.d) # ------ end R This yields the following summary: summary(simple.ed.2s) Call: lm(formula = wage ~ urban + gender + ethnicity + unemp + ed.pred, data = cd.d) Residuals: Min 1Q Median 3Q Max -3.1692 -0.8294 0...

[Mod: forwarded from BUGTRAQ -- alex] ---------- Forwarded message ---------- Date: Sun, 6 Jun 1999 19:15:05 +0000 From: noc-wage <wage@IDIRECT.CA> To: BUGTRAQ@NETSPACE.ORG Subject: RedHat 6.0, /dev/pts permissions bug when using xterm Once again I''ve come up with another trivial Denial of Service flaw, (wow, I seem to be good at this Conseal Firewall, +++ath0, ppp byte-stuffing) It''s been a few mont...

Hello list, I'm following the paper (http://www.jstatsoft.org/v27/i02/paper) on how to use "plm" to run panel regressions, and am having trouble with what I believe should be something very basic. When I run the command (p.9 in the paper): R> dynformula(emp~wage+capital,log=list(capital=FALSE,TRUE),lag=list(emp=2,c(2,3)),diff=list(FALSE,capital=TRUE)) I see: emp ~ wage + capital rather than the complete model that is given in the paper: log(emp) ~ lag(log(emp), 1) + lag(log(emp), 2) + lag(log(wage), 2) + lag(log(wage), 3) + diff(capital, 2) + diff(capi...