search for: unemployment

Hey all, first time poster here. I'm new to R and working on my first real programming and forecasting asignment. I'm using unemployment data from 1948-2012. I successfully completed part a and the linear fit for part b, but i am really struggling fitting a polynomial with a power greater than 2 to my forecast. I'll upload my R code at the bottom. Any help is very much appreciated! Thank You! (a) Produce a time-series plot of...

Dear r-devel list members, On a couple of occasions I've encountered the issue illustrated by the following examples: --------- snip ----------- > mod.1 <- lm(Employed ~ GNP.deflator + GNP + Unemployed + + Armed.Forces + Population + Year, data=longley) > mod.2 <- update(mod.1, . ~ . - Year + Year) > all.equal(mod.1, mod.2) [1] TRUE > > f <-

Hello dear R help group, I have the following setup to analyse: We have about 150 subjects, and for each subject we performed a pair of tests (under different conditions) 18 times. The 18 different conditions of the test are complementary, in such a way so that if we where to average over the tests (for each subject), we would get no correlation between the tests (between subjects). What we wish

[This question is hopefully straight-forward, but difficult to provide reproducible code.] I'm doing a multivariate bootstrap, using boot::boot(), where the output of the basic computation is a k x p matrix of coefficients, representing a tuning constant x variable, as shown in the $t0 component from my run, giving a 3 x 6 matrix > lboot$t0 GNP Unemployed Armed.Forces

...ash} & #{t.name} is on bkmk #{b.name}" end end end ...results in this output: hash is 195=>1 (80s is on bkmk 80s Video Clips) hash is 195=>1 (culture is on bkmk 80s Video Clips) hash is 195=>1 (music is on bkmk 80s Video Clips) hash is 195=>1,196=>1 (activism is on bkmk Unemployment: A National Obligation) hash is 195=>1,196=>1 (careers is on bkmk Unemployment: A National Obligation) hash is 195=>1,196=>1 (eonomics is on bkmk Unemployment: A National Obligation) hash is 195=>1,196=>1 (politics is on bkmk Unemployment: A National Obligation) hash is 19...

In Germany the Unemployment Agency uses a sectioning of the german map that is different from the usual Administrative Boundaries. Some demographic data are available in Administrative Boundaries only, some in Unemployment Boundaries only. I would like to generate estimates in one boundary system of data availabe in the oth...

...t is possible to estimate a hazard function using the muhaz command when all the data is right-censored. My data has information of the number of weeks people has been unemployed but all of them are unemployed at the date of the survey, that is, I cannot observed when the individuals leave the unemployment state. I appreciate your help, Best, Monica L.

...0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1) f<-structure(list(c("GDP (LCU,bn)", "GDP ($, bn)", "GDP per capita (LCU)", "Ratio to EZ GDP Per Cap", "Share of World GDP (Intl $, %)", "Real GDP Growth (%)", "Population (mn)", "Unemployment Rate (%)", "Ratio of Employed/Unemployed", "PPP Exchange Rate", "Nominal Exchange Rate (LCU per $)", "Inflation (%)", "Main Lending Rate to Private Sector (%)", "Claims on Central Gov", "Claims on Private Sector", "Bank...

Dear all I'm familiarising myself with Ridge Regressions in R and the following is bugging me: How does one get p-values for the coefficients obtained from MASS::lm.ridge() output (for a given lambda)? Consider the example below (adapted from PRA [1]): > require(MASS) > data(longley) > gr <- lm.ridge(Employed ~ .,longley,lambda = seq(0,0.1,0.001)) > plot(gr) > select(gr)

...he number of agents (4 agents and 8 periods in this case): Atr=[ 1 1 1 1 1 1 0 1 1 1 0 1 1 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] At this point, I need to update a vector ("unSpells") which contains the lenghts of unemployment spells, and is initialized with ones. Practically, in the case represented I need to store the value "4" at position 1 of unSpells and "7" at position 3 of unSpells (that is, I care only of those who, in the last row, are zeros). I am doing this in the following way (tt+1 in...

On Wed, Feb 16, 2011 at 3:46 PM, John R. Dennison <jrd at gerdesas.com> wrote: > ? ? ? ?issue? ?I don't get it. ?You seem to think that money is the end > ? ? ? ?all be all for OSS. ?I would suggest that's a mindset you may > ? ? ? ?wish to change as money doesn't drive OSS. Are you saying there are no OSS folks who have lost their houses, their cars and their Internet

I'm trying to make a set of contour plots of bivariate kernel density estimates, showing three such plots overlaid, similar to this plot http://euclid.psych.yorku.ca/SCS/Private/Test/ridge-boot2.pdf except that I would like to have the contours *filled* (using transparent colors). To make this reproducible, I've saved the results of KernSmooth::bkde2D() in the following file:

Hello, I have posted this mail a few days ago but I did it wrong, I hope is right now: I have the following doubts related with lm.ridge, from MASS package. To show the problem using the Longley example, I have the following doubts: First: I think coefficients from lm(Employed~.,data=longley) should be equal coefficients from lm.ridge(Employed~.,data=longley, lambda=0) why it does not happen?

Hi all, I have managed to create a figure on the screen with multiple plots in it. Something like the example below. When I save that with ggsave(), only the last plot gets saved (pPath in the example) instead of the entire figure. Any suggestions how I can save this kind of figures automated? Thanks, Thierry library(ggplot2) pPoint <- qplot(unemploy/pop, psavert, data=economics) pPath

...staller_1.4.3 [13] ctv_0.7-4 sos_1.3-1 [15] brew_1.0-6 Hmisc_3.9-3 [17] survival_2.36-12 MASS_7.3-17 loaded via a namespace (and not attached): [1] cluster_1.14.2 digest_0.5.2 tools_2.15.0 # copy and paste the following: library( catdata ) data( unemployment ) unempt <- unemployment unempt$durbin <- unempt$durbin - 1 library( reshape ) unempt <- melt( table( unempt ) ) unempw <- cast( unempt, age ~ durbin ) names( unempw ) <- c( 'age', 'short', 'long' ) modt <- glm( durbin ~ age, weights = value, family = bino...

Dear list, I get some strange results with daply from the plyr package. In the example below, the average age per municipality for employed en unemployed is calculated. If I do this using tapply (see code below) I get the following result: no yes A NA 36.94931 B 51.22505 34.24887 C 48.05759 51.00198 If I do this using daply: municipality no yes

Dear community, We are trying to setup a BoF ( Raising Next Generation of LLVM Developers, http://sched.co/8Yzs). In our academic-oriented environments the main work force is students: undergrads, grads or PhD (rarely postdocs). Often we have limited time to bring somebody up to speed and we have to it in a productive and motivating for both parties way. I believe most of you had

...ey, so that none of the individuals were interviewed in this period. p_37 is the period after p_36. This period was just after the survey, so that none of the individuals were interviewed in this period. I would like to transform this dataset into information on the lenght of the first spell of unemployment. (If there are multiple spells I would just like to use the first one.) My question is how can I convert the records in this dataset into survivul objects - "Surv()" - so that they can be used with a function like "coxph()". Could anyone give me a pointer to a function that p...

...vfit function. My historical data set is a pool of loans with monthly observed default status for the next 24 months. The data is left truncated (delayed entry to observation window after the loan is opened) and right censored. I would like to fit the model with time varying covariate such as unemployment rates and time constant variables at loan application, and then use the model to predict the probability of default in the next 24 month for the pool of loans we have right now, by using function survfit. When loans are outside of the observed time window, is it reliable to use survfit function...

We would like to load data from Statistics Canada (http://www.statcan.gc.ca/) using R, for example, Employment and unemployment rates. It seems to me that the tables are displayed in HTML. I was wondering if you know how to load these tables. Thanks, -james