similar to: googleVis motionchart - slow with Date class

Hi all, Version 0.2.2 of the googVis package has been released on CRAN and will be available from your local CRAN mirror in due course. googleVis provides an interface between R and the Google Visualisation API. The functions of the package allow users to visualise data stored in R with the Google Visualisation API without uploading their data to Google. We presented our initial ideas on

Hi all, Version 0.2.2 of the googVis package has been released on CRAN and will be available from your local CRAN mirror in due course. googleVis provides an interface between R and the Google Visualisation API. The functions of the package allow users to visualise data stored in R with the Google Visualisation API without uploading their data to Google. We presented our initial ideas on

Dear R users. I'm currently making a report with knitr (RStudio) where I would like to plot a googleVis map. However, the map generated is an HTML file which I don't know how to integrate it in my report. So my question is how to include a map generated with googleVis in a PDF created with knitr/sweave. Regards, Phil -- View this message in context:

Hi All, I am unable to get the plot geomap in googleVis package. data is as follows > head(index.ret) country ytd 1 Argentina -10.18 2 Australia -3.42 3 Austria -2.70 4 Belgium 1.94 5 Brazil -7.16 6 Canada 0.56 > map1 = gvisGeoMap(index.ret,locationvar = 'country', numvar = 'ytd') > plot(map1) But it just displays a blank page, showing an

Buenas. Esta mañana estoy trasteando un poco con googlevis, sobre todo para ver si introducimos algunos gráficos chulos en la página web de la empresa ( hacemos estudios sociológicos). Y estaba viendo esta página http://neurochem.sisbio.recerca.upc.edu/?p=276 y no encuentro la forma de reproducir el gráfico de las puntuaciones factoriales . Usando gvisScatterChart puedo dibujar los puntos

I am doing a research on World Bank (WB) projects on developing countries. To do so, I am scraping their website in order to collect the data I am interested in. The structure of the webpage I want to scrape is the following: 1. List of countries the list of all countries in which WB has developed projects<http://projects.worldbank.org/country?lang=en&page=> 1.1. By clicking on a

Hi all, Version 0.2.4 of the googVis package has been released on CRAN and will be available from your local CRAN mirror soon. googleVis provides an interface between R and the Google Visualisation API. The functions of the package allow users to visualise data stored in R with the Google Visualisation API without uploading their data to Google Since the last version a lot of work has been

Hi all, Version 0.2.4 of the googVis package has been released on CRAN and will be available from your local CRAN mirror soon. googleVis provides an interface between R and the Google Visualisation API. The functions of the package allow users to visualise data stored in R with the Google Visualisation API without uploading their data to Google Since the last version a lot of work has been

Dear R-users, I have written the following code to generate some trellis plots. It works perfectly fine except that it is quite slow when it is apply to my typical datasets (over several thousands of lines). I believe the problem comes from the loops I am using to subset my data.frame. I read in the archives that the tapply function is often more efficient than a loop in R. Unfortunately ,

Hi folks, I created a subset of a dataframe (i.e., selected only men): subdata <- subset(data,data$gender==1) After a residual diagnostic of a regression analysis, I detected three outliers: linmod <- lm(y ~ x, data=subdata) plot(linmod) Say, the cases 11,22, and 33 were outliers. Here comes the problem: When I want to exclude these three cases in a further regression analysis, - for

Dear all, First, let's create some data to play around: set.seed(1) (df <- data.frame(Group=rep(c("Group1","Group2","Group3"), each=10), Value=c(rexp(10, 1), rexp(10, 4), rexp(10, 10)))[sample(1:30,30),]) ## Now we need the empirical distribution function: edf <- function(x) ecdf(x)(x) # empirical distribution function evaluated at x ##

Hello all, I'm trying to get a subset of a data frame by taking all rows where the 2nd column is >= Min and <= Max. I can do that by a 2 step process similar to the following: subData <- dataFrame[dataFrame[,2] >= Min,] subData2 <- subData[subData[,2] <= Max,] Then I try to graph the results where col 2 is the X var and col 3 is the Y var. Therefore I do the following: X

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"Simple" question: how can I do that? I think that I need to find a possible way to save my googlevis motion plot into a SWF file, but how? Thanks for the help, Roberto. -- View this message in context: http://r.789695.n4.nabble.com/R-GoogleVis-I-need-to-import-my-chart-into-powerpoint-file-tp3885581p3885581.html Sent from the R help mailing list archive at Nabble.com.

Hi I am using the package googleVis and the function gvisGeoChart Is it possible to put a title on the map ? Here is the call of the function : library(googleVis) G1 <- gvisGeoChart(PaysProjets, locationvar=''Pays'', colorvar=''NbProj'', options=list( region= "world", displayMode="regions", height=347*1.5, width= 556*1.5 )) plot(G1) Thank

Dear list, this must be an easy one: I have a data.frame of two columns, "ID" with four different levels (A to D) and numerical "size", and each of the 4 different IDs is repeated a different number of times. I would like to get the mean size for each ID as another data.frame. I have tried the following: >ID= as.character(unique(data[,1])) # I use unique() because

http://www.nabble.com/file/p18018170/subdata.csv subdata.csv I've attached 100 rows of a data frame I am working with. I have one factor, id, with 27 levels. There are two columns of reference data, x and y (UTM coordinates), one column "date" in POSIXct format, and one column "diff" in times format (chron package). What I am trying to do is as follows: For each day

Dear R Users, I recently posted an email on this list about the use of data.frame and overlaying multiple plots. Deepayan kindly indicated to me the panel.superposition command which worked perfectly in the context of the example I gave. I'd like to go a little bit further on this topic using a more complex dataset structure (actually the one I want to work on). >mydata Plot

Dear R Users - R is a wonderful software package. CRAN provides a variety of tools to work on your data. But R is not apt to utilize all the public databases in an efficient manner. I observed the most tedious part with R is searching and downloading the data from public databases and putting it into the right format. I could not find a package on CRAN which offers exactly this fundamental

Hello: I would like to sum every x columns of a dataframe for each row. For instance, if x is 10, then for dataframe df, this function will sum the first ten elements together and then the next ten: sapply(list(colnames(df)[1:10], colnames(df)[11:20]),function(x)apply( df[,x], 1, sum)) If the number of columns is quite large (1000's), then manually entering the list above is not practical.