similar to: Time series questions

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,

Hallo, I would like to use to read.xls function from the gdata package to read data from Microsoft Excel files but I experienced a problem: For example I used the following code: testfile<-read.xls("/home/.../wsjecon0603.xls", #file path header=F, dec=",", na.strings="n.a.", skip=5, sheet=2,

List, I would like to set a variable to hold, say, the size of my plots in a Sweave document. i.e. something like the following in my '.Rnw' file: ============================================================================== smallPlotSize = 4 <<fig1, echo=false, results=hide, height=smallPlotSize, width=smallPlotSize, fig=true>>= dat <- read.table("

Folks, I have a strange situation, which I may have isolated as a bug report. Or, it could just be that there's something about R that I don't know. :-) I have attached the data file and the program file but don't know whether these attachments will make it into the list. Here is my bugreport.R program -- ---------------------------------------------------------------------------

I am attempting to manually specify x axis value labels (NOT x axis label as in xlab) on a density plot. Generally speaking, I would like to erase the default x axis point 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

Dear all, I'm trying to remove some text after the period (a decimal point) in the data frame 'hi', below. This is one step in formatting a table. So I would like e.g. "2.0" to become "2" and "5.3" to be "5.3", where the variable digordered contains the number of digits after the decimal that I would like to display, in the same order in which

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

# Dear List, # I want to characterize a time series according to its Quarter components. # My data ("a.ts": http://docs.google.com/View?id=dfvvwzr2_478cr9k4cdb)? look like: #???????????????? Qtr1????????? Qtr2????????? Qtr3????????? Qtr4 #?? 1948 -0.0714961837? 0.0101747827? 0.0654816569 -0.0227830729 #?? 1949 -0.1175517556? 0.1151378692? 0.1015777858 -0.1971535900 #?? 1950?

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 25 5.45 1

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

Dear all, I was hoping someone could help with 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",

Good day, For lack of a better solution (or perhaps I am ignorant to something more elegant), I have been bootstrapping panel data by hand so to speak and I would like to know if there is a way to define multiple variables in a loop using the loop variable. I found a post (here: https://stat.ethz.ch/pipermail/r-help/2002-October/026305.html ) that discussed naming multiple variables but it

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.label) ?

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

Dear all, I have the following 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

After long term efforts of fixing non-common clock implementations, clk_disable() is a no-op for a NULL pointer input, and this is now tree-wide consistent. All clock consumers can safely call clk_disable(_unprepare) without NULL pointer check. Signed-off-by: Masahiro Yamada <yamada.masahiro at socionext.com> --- drivers/gpu/drm/etnaviv/etnaviv_gpu.c | 15 +++++----------

Dear R users, I have two 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

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

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$UE g=data$GDP matrix=data.frame(l,g,h,u)

Hi all, I have run a regression and want to calculate the likelihood of obtaining the sample. Is there a way in which I can use R to get this likelihood value? Appreciate your help on this. The following are the details: raw_ols1=lm(data$LOSS~data$GDP+data$HPI+data$UE) summary(raw_ols1) Call: lm(formula = data$LOSS ~ data$GDP + data$HPI + data$UE) Residuals: Min 1Q