similar to: cumsum and subsets of a data frame?

I'm trying to create an xyplot with a "groups" argument where the y-variable is the cumsum of the values stored in the input data frame. I almost have it, but I can't get it to automatically adjust the y-axis scale. How do I get the y-axis to automatically scale as it would have if the cumsum values had been stored in the data frame? Here is the code I have so far:

This code gives unexpected result. library(data.table) library(lattice) set.seed(123) mydt <- data.table(date = seq.Date(as.IDate("2024-01-01"), by = 1, length.out = 50), xgroup = "A", x = runif(50, 0, 1)) mydt <- rbindlist(list(mydt, data.table(date = mydt$date, xgroup = "B", x = runif(50, 0, 3)))) mydt[, `:=`(xcumsum = cumsum(x)), by = .(xgroup)] mydt[,

I want to display cumulative summary functions with lattice. First I tried to get cumulated data: library(lattice) data(barley) d.cum <- with( barley, by( yield, INDICES=list(site=site,year=year), FUN=cumsum ) ) I got a list of vectors. I tried to get a dataframe which I could use in xyplot. But neither of the following functions led to the goal: d.cum.df1 <-

Dear list, I have a problem with the cumsum function. I have a data frame like the following one variable Year value EC01 2005 5 EC01 2006 10 AAO1 2005 2 AAO1 2006 4 what I would like to obtain is variable Year value cumsum EC01 2005 5 5 EC01

I am trying to learn how to use the graphics from the lattice package ( and am very new to R). I am trying to replicate the example plot referenced below, by using the lattice xyplot & lpolygon to create panels. I get what appears to be the correct shape of the filled region, but cannot get the position to overlay properly. I have attempted with various settings of position. ( i.e.

Hello, I am afraid I do not fully understand all intricacies of programming in lattice plots. In the code below I try to plot an ROC curve, following R-news 4(1). When I condition on the variable 'group' I get the error message below, when I plot the curve for all data (i.e., y ~ pred.prob), I get the plot I want. Can someone point out why conditioning gives that message? Thanks, Ruud

I'd like to use stripplot for some plots because I want to use the jitter parameter. On the other hand, I'd like to use dotplot because I'd like to have the horizontal lines that it includes. dotplot doesn't have a jitter option and I'm not having any success with getting panel.grid(h=-1) with stripplot. Can anyone show me how to make dotplot-like lines on a stripplot? Or

Hallo! GENERAL QUESTION: I'm trying to change the tick marks of the x-axis in a grouped data plot (nlme). CONCRETE EXAMPLE: In the example (see below) I want the x-axis to have tick marks at 0, 6, 12, 18, 24. How can I do this? WHAT I TRIED I tried "normal" methods like axis(...) but this does not work with this plot. And I also tried xlim=c(0,24) but the ticks are unchanged and

Hi I'm fairly new to R and the list, so please take what I say accordingly! Far as I can see, strptime gives you a string in some specified format. In order to do any kind of numerically-based modelling with that, you need to obtain a number to work with. One way to do this is by getting the time with Sys.time() instead and coercing it to a number using as.integer(): >

Hello Hello i have this DF: > c CHR_NR diffdato1 x 1022 10395 1994-05-30 11.0 39 0 1994 1 1 0 0 24 1 1 24 29100 11377 2003-05-22 17.0 24 0 2003 1 1 0 0 15 1

Hello again folks, Thanks to all for the advice on getting hold of "grid" and "lattice". I think I'm getting the hang of it. This produces very satisfying arrays of histograms. The typical command I am using is histogram( ~ DATA.df$X | DATA.df$F, \ type=c("count"), layout=c(5,5) ) Now I'd like to ask a question slightly more subtle than

I'm trying to use lattice graphics to produce some small plots for inclusion in a LaTeX file. I want the LaTeX fonts to be used in the plots, but to be scaled down to match the size of the plot. I have written the following code to apply a scaling factor to all the "cex" and "padding" entries in the trellis parameters, but there is still a large white space between the key

Dear Masters, I have a question to submit consider the following script m<-4.95 obs<-rpois(36,m) # i generate 36 realization from a poisson(m) hist(obs,freq=F) curve(dpois(x,m),add=T,col="red") #i wish to overlay on the histogram the theorical poisson density function errors are returned saing the x vector doesn't contain integers.... really bizarre i can't give

I've been playing around with data like the following: Name Date Hrs Way, S 2-3-12 8 Nun, B 2-3-12 9 Way, S 2-4-12 7.5 Nun, B 2-4-12 9 Gus, T 2-5-12 8 I've been able to take this into a data.frame and even develop a cumsum for each of the people d.cum <- with(data,by(Hrs, INDICES=list(date=as.POSIXct(Name)),FUN=cumsum)) This gives me a list personnel with an array

>>>>> Tomas Kalibera >>>>> on Tue, 25 Aug 2020 09:29:05 +0200 writes: > On 8/23/20 5:02 PM, Rory Winston wrote: >> Hi >> >> I noticed a small inconsistency when using sum() vs cumsum() >> >> I have a char-based series >> >> > tryjpy$long >> >> [1]

Apologies for the empty email earlier! I have species abundance data sampled at a weekly frequency or sometimes monthly depending on the year. The goal is to identify the dates in an annual cycle in which the cumulative abundance of a species reaches some threshold. Here's an example of the data for 1 species over an annual period: "mc_pheno" is the object created from this data:

Hi I noticed a small inconsistency when using sum() vs cumsum() I have a char-based series > tryjpy$long [1] "0.0022" "-0.0002" "-0.0149" "-0.0023" "-0.0342" "-0.0245" "-0.0022" [8] "0.0003" "-0.0001" "-0.0004" "-0.0036" "-0.001" "-0.0011"

I recently traced a bug of mine to the fact that cumsum(s)[length(s)] is not always exactly equal to sum(s). For example, x<-1/(12:14) sum(x) - cumsum(x)[3] => 2.8e-17 Floating-point addition is of course not exact, and in particular is not associative, so there are various possible reasons for this. Perhaps sum uses clever summing tricks to get more accurate results? In some

Hello! Is it posible to apply /cumsum()/ along the 3rd dimension of 3D array? Something like matrlab function - /cumsum (*A*,dim)/ which returns the cumulative sum of the elements along the dimension of *A* specified by scalar dim. Thanks in advance ?eljka -- View this message in context: http://r.789695.n4.nabble.com/cumsum-in-3d-arrays-tp4110470p4110470.html Sent from the R help mailing

Dear R users, I am using R version 2.0.1 (2004/11/15) on an i386-pc-mingw32 platform. I encounter the following problem while using cumsum: > a <- rep(0.01, 100) > b <- cumsum(a) > sum(a) == 1 [1] TRUE > b[100] == 1 [1] FALSE Am I missing something? Should cumsum have such an outcome? Thanks in advance for any clarifications any of you can offer. Regards, Makram Talih --