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Dear all, could you please advice whether it is possible somehow to modify an external (from the point of some function view) variable by some function-internal operators. For example > var=1 > foo<-function(var){var=var+1} > foo(var) > var [1] 1 but the goal is to get the var equal to 2 in this specific case. Thanks! -- View this message in context:

Hi there, I have some unused code in my project but have no idea how to clean it up in some kind of automatic way. Maybe there are some tools/ways to identify and remove/mark dead parts of the code? Thanks in advance! Kind regards, Alex

Hello there, could you please help to modify gpar() properties of a cell inside tableGrob() output. In the following example I want to have different color for one out of 4 cells require(gridExtra) z<-matrix(1:4,2,2) grid.draw(tableGrob(z)) The only way I found for now how to do it is to do something like this downViewport(current.vpTree()$children[[1]]$children[[6]]$name)

Hello! Please help - can't find any options how to remove very big spaces between two dates containing intraday prices plotted by plot.xts. It looks like the following: on the left side of the plot window is the first bunch of points, the same is for the right hand side and a long line connecting them in the middle. I would want to merge them (cut spaces) somehow. In any case thanks for

Hello there! does any one know how to convert the following type of data > z DATE TIME ISIN PRICE VOL ID_DEAL RANK 1881 2009-09-11 10:30:59 RTS-9.09 117445 10 98200801 1 1882 2009-09-11 10:31:59 RTS-9.09 117450 1 98202144 6 1883 2009-09-11 10:32:59 RTS-9.09 117285 1 98203075 1 1884 2009-09-11 10:33:59 RTS-9.09 117180 3 98203828 1 1885 2009-09-11

Hello there, Could anybody please help on how to correctly use ggplot when printing irregural time series, by irregural here I mean for example the absence of some dates in the whole timespan of a dataset. To be more precise in the following example I generated some random data which spans the whole November up to now and dropped weekend days but for some reasons ggplot continues to plot the