similar to: Looping through series of names

I need help with replacing NaN with zero (the value '0') in my dataset. The reason is that I can't get it to graph because of the NaN in the dataset. I have tried: data[is.nan(data)] <- 0 that others have suggested in the help archives but this does nothing so I am not sure what I am doing wrong. Thanks in advance for your help. [[alternative HTML version deleted]]

Hi all I have a multiple datasets that look like this MM Freq 1 30 2 35 3 54 4 33 5 27 6 13 7 25 8 29 9 40 10 32 11 36 12 23 I am plotting this using barchart (there is probably something better but it gives me the results I want) and I would like the x-axis to have the names of the months instead of the month numbers. So I have

How does one write formatted, say "C style", output to a text file. I want something like "y=mx+b" for my linear regressions but with m and b derived from the fit objects. Also, how does one go about extracting just the slope or intercept from such an object. - Greg [[alternative HTML version deleted]]

I have a data set that I have imported (not sure if that makes a difference) and I would like to calculate the sum of only specific columns. I have tried >colSums(dataset, by=list(dataset$col5), dims=1) and I get an error of unused arguments I have also tried >aggregate(dataset, by=list(dataset$col5), sum) and I get the error that sum is not meaningful for factors. I want to only calculate

Hi all I have a bit of a problem. I want to make a barplot of some data. My data is of a score that is separated by year and by a limit (above 3 and below 3 to calculate the score). Year Limit HSS 1999 ALT 0.675 1999 VFR 0.521 2000 ALT 0.264 2000 VFR 0.295 I would like to have a barplot with year on the x axis and HSS on the y axis and the two limits as two different colors to show the

Hello R users I have a dataset that has different types of records with different dates and times pertaining to each. I would like to have a bar graph of a count of the types(ie. The number of types) of recods by hour grouped by year. So the count of the types would be the y axis, the hour on the x axis and then grouped by year for easy comparison. I think that I have to use barchart however I

I am using barchart to make charts for some data with a lot more functions and labels and such in the command. barchart(Freq ~ factor(HH), data = dataset1, group= year) So I have my data grouped by year and I get a legend at the top of graph, which is great cause I need the legend for the different years but it is a weird spot. So how can I manipulate the legend, ie. Move it, shrink it, do

Hi all I can't find what I am looking for so I am asking here. I have a dataset that looks something like this. Year season percent_below 2000 Winter 6.9179870 2000 Spring 1.6829436 2000 Summer 1.8463501 2000 Autumn 3.8184993 2001 Winter 2.8832806 2001 Spring 2.5870511 2001 Summer 0.0000000 2001 Autumn 4.7248240 2002 Winter

Hi everyone I need help with subseting a data set. In my dataset there is a specific row that will either have a value or be blank. I would like to subset (or split) the dataset into one dataset with the row that has the value and another dataset that has just the blanks. Now the thing is that the row that has the value in it, the value is not always the same, it is a time stamp of when

I would like to know how I can assign a name to a name. I have a dataset that has different years in it. I am writing scripts using R and I would like to give a month a generic name and then use the generic name to do different analysis. The reason for the generic name would be so that I only have to change one thing if I wanted to change the year. For example. Year1 = 1999 datayear <-

Hi everyone I am using barchart to make my graphs. Here is my code. barchart(percent_below ~ factor(Year)| factor(Season, levels=unique(Season)), data= .season_occurrence, origin = 0, layout = c(4, 1), scales=list(tick.number=ticknum,labels=NULL), ylim=c(0, ymax), group = factor(Year), xlab= "Year", auto.key = list(points = FALSE, rectangles =

Hello all, I have a very simple set of data and I would like to analyze them with probit analysis. The data are: X Event Trial 100 8 8 75 8 8 50 6 8 25 4 8 10 2 8 0 0 8 I want to estimate the value of X that will give a 95% hit rate (Event/Trial) and the corresponding 95% CI. Anyone can offer some help? Thanks!! -

Dear R helpers, I have a 3D scatter plot that I have generated from scatterplot3d (which looks great- thanks!) and I can see that the points in my graph fall in a plane. Following the example 5 from 3D scatter plot (below) I have fitted a regression plane. Now what I would like to do is a rotation so that my new co-ordinate system is about the fitted plane (by finding the normal to the plane

Dear R-Helpers: I am a entry level user of R. Have the following question. Many thanks in advance. # value.vec stores values value.vec <- c('a','b','c') # which.vec stores the locations/indexs of values in value.vec. which.vec <- c(3, 2, 2, 1) # How can I obtain the following vector based on the value.vec and which.vec mentioned above # vector.I.want <-

Hi! I'm kinda new, so i'm wondering how should i configure [homes] section, so only two of many users (e.g. "user1" and "user2") could see it shared in network (so only those users could access their homes)? thanks in advance, andrej

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Dear R users, I'm interested in measuring the stability of a heirarchical clustering, of the overall clustering and finding sub clusters (from cutting the heirarchical clustering at different levels) which demonstrate stability. I saw some postings on the R help from a while back about bootstrapping for clustering (using sample and generating a consesus tree with a web based tool CONSENSE)

Dear R Group: I have little experience using R and even less experience with control flow type questions. See the following code: a1 = c(0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0) for(i in 1:1){ sx <- paste("a",i,sep="") s <- eval(parse(text = paste("a",i,sep=""))) {g = numeric(length(s)) k =

Dear list, I want to create a POSIX time vector as follows: day <- as.character("110809") time.t <- 1:3600 t.min <- time.t %/% 60 t.sec <- time.t-t.min*60 DATE <- as.POSIXct(strptime(paste(day,t.min,t.sec),"%y%m%d %M%S")) Tail(DATE) The problem is that the last element (3600) returns a NA and I don't understand why. 600, 1200, 2400

Dear all: Any suggestions are much appreciated. I am looking for a way to make a series of similar, but slightly modified, .r files. My issue is automating making 320 .r files that change the for(i in 1:x) in my base .r file (as well as other elements, e.g., the load(...), setwd(...)). For smaller jobs running on a single computer with batch files, I have been manually changing the for(i in 1:x)