similar to: generating sequences with gaps

Hi, I'm a newbie in using R and I would like to have a few clues as to how I could compute and plot a distribution of daily rainfall intensity in different categories. I have daily values (mm/day) for several years and I need to show the frequency of 0-1, 1-2.5, 2.5-5, 5-10, 10-20, 20+ mm/day. Can this be done easily? Thanks, Etienne

I'm using barplot with the following call: barplot(stat_data[[5]][,],axes=TRUE,axisnames=TRUE,axis.lty=1,xlab=xlab,ylab=ylab,beside=TRUE,las=1,font.lab=2,font.axis=1,legend.text=TRUE) On some data, the vertical axis does not cover the whole plot area and the last tick mark is smaller than the maximum value. I tried setting the ylim values but even with that, some plots are still not OK,

I'm trying to plot some temporal data that have some gaps in them. You can see the plot here: http://www.tiikoni.com/tis/view/?id=da222e2. The problem is that during the time gaps in the TS the line plot is interpolated over the gap and I don't want it to. I've tried interleaving the gaps with an NA flag, but there are around 10000 data-points sorted from multiple files, that makes it

Hi everybody, I have a small question about the function "na.locf" from the package "zoo". I saw in the help that this function is able to fill NA gaps with the last value before the NA gap (or with the next value). But it is possible to fill my NA gaps according to the last AND the next value at the same time? Actually, I want R to fill my gaps with the method of

Hi everybody, I'm a new R french user. Sorry if my english is not perfect. Hope you'll understand my problem ;) I have to work on temperature data (35000 lines in one file) containing some missing data (N/A). Sometimes I have only 2 or 3 N/A following each other, but I have also sometimes 100 or 200 N/A following each other. Here's an example of my data, when I have only small gaps

Hi everybody, I have a little problem about filling some gaps of NAs in my data. These gaps are between nearly constant data (temperature under snow). Here's a fake example to illustrate how it looks like approximately: DF <- data.frame(data=c(-0.51,-0.51,-0.48,-0.6,-0.54,-0.38,-0.6,-0.42,NA,NA,NA,NA,NA,NA,NA, -0.25,-0.41,-0.5,-0.5,-0.35,-0.7,-1,-0.87)) I would like to replace my NAs

https://bugs.freedesktop.org/show_bug.cgi?id=84515 Priority: medium Bug ID: 84515 Assignee: nouveau at lists.freedesktop.org Summary: [NV96] HDMI audio works, but has audio gaps or pauses QA Contact: xorg-team at lists.x.org Severity: normal Classification: Unclassified OS: Linux (All) Reporter: ppaalanen

I have a long sequence of dates, about 6 years worth, as one column in a data frame. How can I test whether the sequence is consecutive, that is, without gaps? Thanks. --Chris -- Christopher W. Ryan, MD SUNY Upstate Medical University Clinical Campus at Binghamton 40 Arch Street, Johnson City, NY 13790 cryanatbinghamtondotedu "If you want to build a ship, don't drum up the men to

Hello, I'm trying to plot data that has gaps in the timeline because my data only has the business day in it. When I do a line plot I get the data and then a blank area where a line goes the tail of the last data point to the head of the next data point. Is there a way I can do a line plot where the gaps are not plotted? Thanks in advance, Brian > names(utildf) [1]

How can I change the position of the ylab, after enlarging the margins with par(mar=...)? Here is the relevant code snippet ---- par(mar=c(5.1,5.1,4.1,2.1)) plot(c(1979,2003),c(40,50),ylim=c(1,73),lab=c(20,10,1),pch=21,col='blue',bg='blue',axes=FALSE,xlab="Years",ylab="Onset/Withdrawl Date",font.lab=2) box() axis(1,las=2)

I have a time series with interval of 2.5 minutes, or 24 observations per hour. I am trying to find a 1 hr moving average, looking backward, so that moving average at n = mean(n-23 : n) The time series has about 1.5 million rows, with occasional gaps due to poor data quality. I only want to take a 1 hour moving average for those periods that are complete, i.e. have 24 observations in the

R community, I am trying to write a code that fills in data gaps in a time series. I have no R or statistics background at all but the use of R is proving to be a large portion of my PhD research. So far my code identifies where and the number of new entries required but I do not know how to add additional rows or columns into an array. Any advice on how this can be done? Here is an example:

Hi, I have an intraday timeseries of financial data (see below) which has gaps due to market opening and closing hours. I am trying to plot it, but the time gap is always visible in the plot. I tried converting data to xts, zoo, timeSeries and plotting it with different functions i.e. plot.xts, plot.zoo. The only way to make it work was with function 'chartSeries' in the quantmod package

Looking for a little help figuring out what's driving gaps in data after merging two xts objects (msci.m and x2). The merge statement I'm using is ... y <-merge(x2,msci.m, all=FALSE). Here's info on the output , y: head(y) t-bill msci Sep 1985 7.310 316.963 Mar 1986 6.560 463.471 Jun 1986 6.180 498.791 Jul 1987 6.200 778.898 Aug 1987 6.400 833.519 Nov 1987

hello *, im new to the list (and R in general), i have a problem that im hoping someone can help me solve. i have data that i want to turn into a time series per day, ex. 2010-03-01 9 2010-03-03 17 2010-03-04 2 2010-03-05 9 2010-03-07 3 is there an easy way to fill in the gaps for the missing days? thx much --joe

I have time-series data from a pair of inexpensive self-logging 3-axis accelerometers (http://www.gcdataconcepts.com/xlr8r-1.html). Since I'm not sure of the vibration/shock spectrum I'm measuring, for my initial sensor characterization run the units were mounted together with the sample rate set to the maximum of 640 samples/sec. Unfortunately, at this sample rate there are significant

I like the fact that in subtracting two time series objects that there is some effort to align the series. So if I have a time series of that begins at 1 and one that begins at 2 a subtraction operation makes sure that the proper values are subtracted. But I am unclear as to the best way to build a time series with "holes". say that I have data for "day" 1,2,6,7 in one time

Thanks in advance. I have a vector of numbers which contain sections that are sequences which increase by a value of 1 followed by a gap in the data and then another sequence occurs, etc: x<-c(1:3, 6: 7, 10:13) From the vector I need to extract 2 items of information A) the first number in the sequence (e.g., 1, 6, 10) and B) how many observations were in each sequence section (e.g., 3,

Hi, I need to implement some RTF export for a customer. According to some "templates", i generate RTF documents, filling data coming from models. It''s pretty much like a mailmerge, but in *nix/ruby world. Also, customer would like (in the future) to upload himself the templates, so he can modify them by his own. Can anyone advice me on an elegant solution? Thank you,

I'm running into a problem I can't seem to find a solution for. I'm attempting to add sequences into an existing data set based on subsets of the data. I've done this using a for loop with a small subset of data, but attempting the same process using real data (200k rows) is taking way too long. Here is some sample data and my ultimate goal >