similar to: Plots: I've deleted axes, now to delete space

I have times and would like to round down to the earliest 30 minute increment. For instance, a time of 2011-04-28 09:02:00 (the as.numeric value = 1303999320) I would like it to be rounded down to: 2011-04-28 09:00:00 (the as.numeric value = 1303999200) Any ideas of how to do this? ----- In theory, practice and theory are the same. In practice, they are not - Albert Einstein -- View this

I have a new device that takes measurements anywhere from every second, to every 15 minutes (depending on changes). The matrix has a date, time and Y column (Y is the measurement). For three days it is 25,000 rows. How do I average the measurements by every 30 minutes so my matrix is 48 rows per day? I have been working on this and cannot figure out a simple method. Any ideas? Thank you. ----- In

I have a dataset where I have missing times (11:00 and 16:00). I would like the outputs to include the missing time so that the final time vector looks like "realt" and has the previous time's value. Ex. If meas at time 15:30 is 0.45, then the meas for time 16:00 will also be 0.45. meas are the measurements and times are the times at which they were taken. meas<-runif(18)

Sometimes I have NA values within specific columns of a dataframe (in this example, the first two columns can have NAs). If there are NA values, I would like them to be removed. I have been using the code: y<-c(NA,5,4,2,5,6,NA) z<-c(NA,3,4,NA,1,3,7) x<-1:7 adata<-data.frame(y,z,x) adata<-adata[-which(apply(adata[,1:2],1,function(x)any(is.na(x)))),] This works well if there are NA

Hello! I work with : R : Copyright 2006, The R Foundation for Statistical Computing Version 2.3.1 (2006-06-01) On Windows XP Professional (Version 2002) SP2. At this moment I use the function "nls" combined with a selfStar model (SSmicmen, related to Michaelis-Menten equation, and provided by the "stats" package). When I realise the following operation (cf. p 59 of the

I would like to create a plot of y vs x with different treatments where the points are actually the letter of the treatment. Here is the code: A<-as.matrix(rnorm(10,10)) B<-as.matrix(rnorm(10,9.5)) C<-as.matrix(rnorm(10,10.5)) Y<-as.matrix(rnorm(30,13)) X<-rbind(A,B,C) nA<-matrix("A",10,1) nB<-matrix("B",10,1) nC<-matrix("C",10,1)

I have a combined date and time. I would like to separate them out into two columns so I can do things such as take the mean by time across all dates. meas<-runif(435) nTime<-seq(1303975800, 1304757000, 1800) nDateT<-as.POSIXct(nTime, origin="1970-01-01") mat1<-cbind(nDateT,meas) means1<- aggregate(mat1$meas, list(nDateT), mean) This doesn't do anything as each day

I have encountered this problem on several occasions and am not sure how to handle it. I use for-loops to cycle through datasets. When each dataset is of equal length, it works fine as I can combine the datasets and have each loop pick up a different column, but when the datasets are differing lengths, I am struggling. Here is an example: A<-1:10 B<-1:15 C<-1:18

I am running the following nls equation. I tried it with data that excel was fitting and got the error: singular gradient matrix at initial parameter estimates I thought it was due to a low number of points (6), but when I create a dataset, I get the same problem. If I remove the parameter "a," then it can find a solution. Does anyone know what I can do to fit this model?

Hello, Does anybody know if it is possible to reduce the spaces between axes labels and axes lables in boxplots? I am trying to fit several plots onto one page ( layout() ) and need to save as much space as possible. I have reduced margins (par(mar)),adjusted font size (cex) and tck, is there anything else I can do? Thank you [[alternative HTML version deleted]]

I have a matrix where one column has a date and another column has a time. I need to delete all times before 6am. I had combined the Date and Time column into DateTime. Mat1: Weight Date Time 7.6 04/28/11 09:03 8.4 04/29/11 03:11 8.6 04/29/11 05:32 8.6 04/29/11 09:53 1.4 05/01/11 19:52 I tried just picking up the time: as.POSIXct(Mat1$Time, format = "%H:%M") but

Hello I am writing an article demonstrating how quantile plots work. In one figure, I generate 3 sets of normal data, and add different sorts of outliers to each. I then make 9 qqnorm plots, in a 3x3 array: Outlier1 Outler2 Outlier3 Dataset1 Dataset2 Dataset3 which I did using mfrow = c(3,3). I'd like to use the space on the page as efficiently as possible,so I

Dear useRs, I'd like to produce some scatter plots where N units on the X axis are equal to N units on the Y axis (as measured with a ruler, on screen or paper). This approach x <- sample(10:200,40) ; y <- sample(20:100,40) windows(width=max(x),height=max(y)) plot(x,y) is better than plot(x,y) but doesn't solve the problem because of the other parameters (margins etc). Is

I am trying to do a power analysis to get the number of replicas per treatment. If I try to get the power it works just fine: setn=c(2,3) sdx=c(1.19,4.35) power.t.test(n = setn, delta = 13.5, sd = sdx, sig.level = 0.05,power = NULL) If I go the other way to obtain the "n" I have problems. sdx=c(1.19,4.35) pow=c(.8,.8) power.t.test(n = NULL, delta = 13.5, sd = sdx, sig.level = 0.05,

Hi list, >From the xyplot() documentation I'm guessing this may not be possible, but is there a way to specify a scale definition something between relation="free" and relation="same" such that the scales are fixed across rows and column margins are removed for a M x N conditioning plot (sort of like ggplot2 plots)? I find that the margin spacing in between each panel

Dear R users: I assigned students to make some graphs and I'm having trouble answering some questions that they have. We are all working on R 2.1 on Fedora Core Linux 4 systems. 1. In the plot, the axis is not labeled by "numbers", but rather scientific notation like "-2e+08" or such. We realize that means -200,000,000. We want to beautify the plot. We would rather

I need to fit a graph into a column of a 2-column paper. I found that just specifying width and height parameters (3.2in x 3.5in) to plot doesn't decrease the fonts of the main title, axis titles, and labeling numbers, and tick sizes. So I have to add cex to all labels and titles and manage ticks. However, I can't decrease the space between axis label and numbers on ticks. Is there a

Hi All, Is there a way we can delete the empty white space around when we generate any graph/map using R? The final output should be onaly a picture with no white spaces all around. Cheers, Pratap --------------------------------- 5, 50, 500, 5000 - Store N number of mails in your inbox. Click here. [[alternative HTML version deleted]]

Please, could someone help me figure out what seems to be a very simple problem (and is still taking me hours...). I want to draw a simple scatterplot but with 'equal' axes, i.e. I want both axes to go from -3 to 3. Values for x lie between -2 and 0.5, values for y between -2.2 and 3. I have tried 'usr' and 'eqscplot' and a few other options, but it doesn't give me the

Good Evening- I have a set of nine scenarios I want to plot to see how the distribution is changing, if one tail is getting larger in certain scenario, currently I am using this code colnames<-dimnames(sag_pdfs)[[2]] par(mfrow=c(3,3)) for(i in 1:9) { d<-density(sag[,i]) plot(d,type="n", main=colnames[i]) polygon(d,col="red",border="grey")} where sag is