similar to: data.frame - transform

Hello, I have a csv-file which looks like: #### pwt6_r.csv #### code;year;rgdpch AGO;1998;1234 ALB;1998;3576 ARG;1998;#NA SVN;1996;13439 SWE;1996;21492 AGO;1960;#NA ALB;1960;2345 ARG;1960;4634 #### pwt6_r.csv #### To import this file i call: pwt6<-read.csv("d:/pwt6_r.csv",header=T,na.strings="#NA",sep=";") Now I want to generate a new data.frame which include

Hi, I want to read some Times Series of GDP from OECD-Countrys. First I call: > oecd96<-ts(read.csv("oecd96.csv",header=T,sep=";"),start=1950,freq=1) > summary(oecd96) gdpcausb gdpcautb gdpcbelb gdpccanb Min. : 8567 Min. : 4533 Min. : 6616 Min. : 8966 1st Qu.:10771 1st Qu.: 8717 1st Qu.: 9440 1st Qu.:11694 Median

Dear R-friends, the dataset I am using (data.it) is organized as follows partner stp btp reg hk 0.64 1 s ger 0.27 1 d tur 0.27 1 s rom 0.24 1 s-f por 0.24 1 s spa 0.23 1 s gre 0.22 1 d-f aus 0.17 1 d uk 0.16 1 s be 0.16 1 d arg 0.15 1 s usa 0.13 1 d-f fra 0.13 1 s neth

Dear All, Please see the short script at the end of the email, which I assembled looking for bits and pieces on the web. It essentially does what I need: it plots several countries as a color-coded map. I just would like to fine-tune a bit the final image, in particular (1) Select my own colors for "painting" the countries (i.e. associate manually a color to every level) (2) Be

Hello, I am very new in R so I am so sorry for this question. I have the Barro-Lee data set which contains 98 countries and I want to run the regressions only for the Latin America countries, so what do you recomend? How can I delete all the other countries or how can I select the countries of Lat. Am. thank you this is the list of countries SHCODE COUNTRY NAME WBCTRY

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

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

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 R-users, again two question... # Question 1 Adding two lines of text to a plot, I am using: # ------------------------------- plot(k[,1], k[,2], pch=16, ylim=range((min(k[,2])-0.2):(max(k[,2])+1))) a <- paste("Cor.:" ,cor(k[,2],k[,1])) b <- paste(nrow(k), "Countries") text(90, max((k[,2])-0.51), a) text(90, max((k[,2])-0.83), b) #

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

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",

I was hoping that the following specification postscript(file="fig.ps",height=2,width=4) par(mar=c(5,5,2,2)+.1,mfrow=c(1,2),mex=.6) would yield the same scaling effect as postscript(file="fig.ps",height=2,width=6) par(mar=c(5,5,2,2)+.1,mfrow=c(1,3),mex=.6) but the fact is that the 'mfrow=c(1,2)' yields smaller plotting frame and bigger font size.

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,

Hi, I'm trying to produce 6 graphs on a single page using code I've borrowed from an example by Paul Murrell: (http://www.stat.auckland.ac.nz/~paul/RGraphics/custombase-xmastree.R). It involves placing 6 horizontal barplots on one page and adding common labels. The problem is the first graph in my figure (the one in the (1,1) position) is smaller than the other 5. A toy example is

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

How to convert the following ms() in Splus to Optim in R? The "Calc" function is also attached. ms(~ Calc(a.init, B, v, off, d, P.a, lambda.a, P.y, lambda.y, 10^(-8), FALSE, 20, TRUE)$Bic, start = list(lambda.a = 0.5, lambda.y = 240), control = list(maxiter = 10, tol = 0.1)) Calc <- function(A.INIT., X., V., OFF., D., P1., LAMBDA1., P2., LAMBDA2., TOL., MONITOR.,

Hello, I am sure this is a trivial question, but I don't get it... Having a dataframe (b.70) like that: > b.70[1:4,2:3] ARG AUS 1960 19041 25949 1961 19675 25451 1962 19302 26463 1963 18121 27644 Now I want to calculate the log for each year and save the result in a new dataframe called 'x'. x<- data.frame(w=NULL) for(i in 1:3)

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