search for: gdp

...ot;Simple full OLS regression with all data:\n") logtax = log(tax) logtaxbase = log(taxbase) m = lm(logtax ~ logtaxbase) summary.lm(m) details = summary.lm(m) } A <- read.table(file="amodi-data.csv", sep=",", col.names=c("year", "gdp.ag", "gdp.mining", "gdp.manuf", "gdp.elecgas", "gdp.construction", "gdp.industry", "gdp.services", "gdp.fc", "indirect.taxes", "subsidies", "j1",...

I don't understand this behavior. Why does the every data point get trashed by data.matrix when there is one non-numeric element in the array? Thanks. > temp GDP CPIYOY 19540 2098.1 garbage 19632 2085.4 0.9 19724 2052.5 0.8 19814 2042.4 1.1 > data.matrix(temp) GDP CPIYOY 19540 4 4 19632 3 2 19724 2 1 19814 1 3 > I'd like garbage to become NA but I tried filtering the array...

...int labels and replace them with arbitrary x axis point labels relating to specific CDF points. I am sure this can be done, but it isn't obvious to me how. Has anyone done this before? My R code follows if it helps (new to R so please excuse any awkwardness that you notice.) plot(density(gdp), main="Probability Distribution\n of 2002 US GDP Forecast",lwd=3, xlim=c(-9,9), ylim=c(0,.3),xlab="Percent Real GDP Growth") par(new=T) newline _ cbind(c(gdp[5000/2],gdp[5000/2]),c(0,.25)) newline1 _ cbind(c(gdp[.05*5000],gdp[.05*5000]),c(0,.15)) newline2 _ cbind(c(gdp[.95...

Hi! I'm trying to do a lm() test on three objects. My problem is that R protests and says that the variable lengths differ for one of the objects (Sweden.GDP.gap). But I have double checked that the number of observations are the same. All three objects should contain 9 observations but R only accepts 9 observations in two of the objects. The third must have 10! Very confusing because there is no 10th observation! # Adjusted Real rate - P > Sweden....

...sing substring was the approach I was thinking of taking, but this would seem to need for loops here. I was wondering if anyone knows any easier ways. Thanks very much for any help! Aidan digordered<- c(0, 0, 0, 1, 1, 1, 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", &quo...

Hello, I'm using VAR models in R in order to obtain impulse responses of stock market shock on US economy. I have series of quarterly changes in real gdp, S&P 500 and quarterly level of unemployment for 1985 - 2012 period. My series are stationary. So I did all the steps below. However I don't understand what do irf function results mean. These are the cumulative orthogonal responses to sp variable shock but what is the value of this shock?...

...g question. I have to fit the hierarchical model for the hypothesis concern the individual-level effects by controlling for the individual -level attributes and national-level contextual effects on individuals by using R. O have to obtain the estimates of the impact of the second-level (national: GDP per capita) effects on individuals ( in this instance the impact of the GDP per capita on the attitudes towards the EU enlargement) by allowing national differences in both slopes (GDP per capita) and interceps. In R programm for the fitting the hierarchical models i can use the nlme package. I fo...

...th a ggplot question. I would like to generate a faceted bar chart, but missing data are causing problems. g<-structure(list(Date = structure(c(11322, 11687, 12052, 11322, 11687, 12052, 11322, 11687, 12052, 11322, 11687, 12052), class = "Date"), variable = c("Govt Revenues to GDP", "Govt Revenues to GDP", "Govt Revenues to GDP", "Govt Revenues to GDP", "Govt Revenues to GDP", "Govt Revenues to GDP", "Structural Budget Position", "Structural Budget Position", "Structural Budget Positi...

Hi, I am trying to teach myself some time series analysis. I have some time series data on GDP, quarterly, from 1947 to 2011. colnames are "Year" "Quarter" "GDP" and "GDP.deflator" The first problem I have is that 4th quarter 2010 is missing--not even NA, there is no record for Year=2010 and Quarter =4, so instead of 260 rows, I only have 259. To so...

hi, i need help on placing legend/text in a time series plot. here is what i am doing (i am using rw1022 on windoze 2000): #read data file gdpn <- scan("jngdpsa.dat", list(year=0, qtr=0, gdp=0)); gdpr <- scan("jrgdpsa.dat", list(year=0, qtr=0, gdp=0)); #convert to time series object gdpn <- ts(gdpn$gdp, frequency=4, start=c(1955,2)); gdpr <- ts(gdpr$gdp, frequency=4, start=c(1955,2)); #plot two gdp time s...

Hi there, I have a data.frame (pwt6) which I would like to transform: country year gdp MEX 1950 2 MEX 1951 5 BOL 1950 4 BOL 1951 12 ITA 1950 45 ITA 1951 2 This should be the result: year MEX.gdp BOL.gdp ITA.gdp 1950 2 4 45 1951 5 12 2 Right now I have this code (better - no code): country.label<-names(table(pwt6$country)) result<-data.frame(year=NULL) for(i in country.l...

Can anyone tell me the history of CONFIG_EXT{2,3}_CHECK? There is code for a "check" option for mount if these options are enabled, but there's no way to enable them. TIA Adrian -- "Is there not promise of rain?" Ling Tan asked suddenly out of the darkness. There had been need of rain for many days. "Only a promise," Lao Er said.

I am trying to create a 2x2xk contingency table. The variables are GDP and an income inequality statistic with year being the k levels. I want to eventually run a loglinear model with the data. Currently the data is organized by either year or country. example Country Year log(GDP) sqrt(INEQ) 1 1980 24 5.3 1 1981 2...

...data frames that consist of statistical information for most countries around the world. One dataframe consists of the latitude and longitude ("coord.csv") of each country, while the other consists of 100's of different attributes ("countryattri.csv") for each country (like, GDP, Population, etc.). The data is organized with a header and then countries down the first column. I'm trying to run a spatial autocorrelation for each column or attribute in the "attri" dataframe. The process for running this on a single column is as follows: example of "coord.c...

Hello My data.frame (dat) contains many variables named var.names and others named var.names_var.id For example var.name <- c("gdp","inf","unp") var.id <- c("w","i") x <- paste(var.name, rep(var.id, each=length(var.name)), sep="_") How can I access variables in the dama.frame by names listed in x, for example to compute gdp_w - gdp_i inf_w - inf_i unp_w - unp_i o...

...; file: ============================================================================== smallPlotSize = 4 <<fig1, echo=false, results=hide, height=smallPlotSize, width=smallPlotSize, fig=true>>= dat <- read.table(" http://www.stanford.edu/~xing/statfinbook/_BookData/Chap05/q_us_gdp.txt", skip=2, header=T) GDP <- ts(data=dat$VALUE, start=c(1947,1), frequency=4) acf(GDP, type="correlation", main= "ACF of US GDP") @ ============================================================================== This way I can tweak things if I have to include a bunc...

Hi all, I have a data set containing variables LOSS, GDP, HPI and UE. (I have attached it in case it is required). Having renamed the variables as l,g,h and u, I wish to run a Lasso Regression with l as the dependent variable and all the other 3 as the independent variables. data=read.table("data.txt", header=T) l=data$LOSS h=data$HPI u=data...

Hello again! thanks to all who helped with overlay plots - v. easy in the end. Anyway, another new(ba)bee type question - the gurus will cringe I'm sure! Q. simple R function mm <- function (u) { x <- u$GDP x m <- mean(x) m } When the function is called the vector "x" does not get printed from within the function, but the mean value "m" does, why? I think it's probably to do with scoping but don't really know. The vector "x" can of course be printed with...

....c | 3 +-- drivers/gpu/drm/mxsfb/mxsfb_drv.c | 3 +-- drivers/gpu/drm/nouveau/nvkm/engine/device/tegra.c | 6 ++---- drivers/gpu/drm/omapdrm/dss/venc.c | 3 +-- drivers/gpu/drm/shmobile/shmob_drm_crtc.c | 3 +-- drivers/gpu/drm/sti/sti_gdp.c | 3 +-- 10 files changed, 17 insertions(+), 34 deletions(-) diff --git a/drivers/gpu/drm/etnaviv/etnaviv_gpu.c b/drivers/gpu/drm/etnaviv/etnaviv_gpu.c index 9a9c407..70efe04 100644 --- a/drivers/gpu/drm/etnaviv/etnaviv_gpu.c +++ b/drivers/gpu/drm/etnaviv/etnaviv_gpu.c @@ -...

Hi, I am a new user to R. I am using strucchange to generate breakpoints: -------------------------------------------------------------------------------------- > res <- gbreakpoints(GDP.new ~ 1,data=a,h=2,breaks=5) > print(res) Optimal 6-segment partition for `lm' fit: Call: gbreakpoints(formula = GDP.new ~ 1, data = a, h = 2, breaks = 5) Breakpoints at observation number: 10 19 25 38 48 Corresponding to breakdates: 1960 1969 1975 1988 1998 ------------------------...