similar to: How to color certain area under curve

I have written a few different summary functions. I want to calculate the statistics by groups and I am having trouble getting the output as a dataframe. I have attached one example with a small dataset that calculates summary stats and percentiles, I have others that calculate upper confidence limits etc. I would like the output to be converted to a dataframe with one of the columns as the

Dear R-users, I recently began using the ggplot2 package and I am still in the process of getting used to it. My goal would be to plot on the same grid a number of curves derived from two distinct datasets. The first dataset (called molten.data) looks like this : Column names : Perc, Week, Weight P10 21 333.3554 P90 21 486.0480 P10 22 452.6347 P90 22 563.8263 P10 23 575.0960 P90

While trying to train randomForest with my dataset, I am ending up with the following error Error in randomForest.default(datatrain, classtrain) : length of response must be the same as predictors My data looks like: A,B,C,D,Class 1,2,1,2,cl1 1,2,1,2,cl1 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,12,3,cl2 3,2,1,2,cl2 Actual dataset has around 4000

Dear List, This is just a programming problem which i cannot seem to figure out. I am trying to get a set of power from a test (say, kolmogorov smirnov) out of a distribution (say, G-K distribution) as follows. I am trying to reduce to pain of writing the whole set of data points (p# below) using "for" loop. However, I seem to have some problem in it as the output "M" does not

Hi all, I would like to set up an iterative read & write sequence to avoid reading and writing each file one at a time. Hundreds of data sets to re-calculate.? The code I have works well individually, but would like to set up an iterative read, calculate and write changing the input and output file names each iteration. I? think I have read that there is an R? feature using

Some day I may figure out how ggplot2 works. I am trying to plot 5 columns of data on a graph (similar to a simple matplot) =========================================================================== library(ggplot2) bmi <- structure(list(pct = 2:21, P10 = c(14.6, 14.5, 14.2, 13.9, 13.7, 13.7, 13.9, 14.2, 14.5, 14.8, 15.3, 15.9, 16.6, 17.2, 17.8, 18.1, 18.3, 18.4, 18.5, 18.6), P25 =

Does something like this get you close: x <- list() keys <- LETTERS[1:6] # create for (i in keys){ x[[i]] <- data.frame(a=1:5, b=1:5, c=1:5) } # output output <- file('tempxx.txt', 'w') for (i in keys){ write.table(i, row.names=FALSE, col.names=FALSE, file=output, quote=FALSE) write.table(x[[i]], file=output, quote=FALSE) } close(output) On Wed, Jul 2,

Hello experts I have a thing which I can't vectorize. Can any gurus out there help? This is my truncated dataset; it is a dataframe of five possums and which tree they slept in on three days. R> dataset p14 p88 p82 p90 p98 1 6 7 5 1 3 2 8 9 10 1 11 3 8 7 12 13 14 I can manipulate it with simple functions fine: R> f function(n){n+1000} R> f(dataset)

Hi apologies for what will seem a daft question I'm getting problems with my mail provider who is using dovecot. I've loaded Dovecot on a 8 core ARMHF SBC version 2.2.33.2 on Ubuntu 18.04. The SBC is headless. and the load looks very light and only needs to store/cache 4GB of mail Can I use Dovecot as a buffer between my mail providers Dovecot servers and the several IMAP mail clients

We're using Samba 1.9.18p10 on a Linux 2.0.35 box as a fileserver chiefly for software development under VC++. Builds are done from the command line, not the IDE. I'm seeing rather slow build performance under NT4SP3. Build performance is fine under Win95. Build performance is also good when building from Samba 1.9.18p8 running on a Sun UltraSparc. To give some concrete figures, building

text() can draw text on a plot. Do we have a way/function to draw text with a box surround it? Thanks, -james

Hi Kurt, I've read the new document. It's a very fine piece of technical documentation. However, it doesn't help me in the present predicament. Going now by this book I'm only getting more frustrated. I'm stuck! For example adding driver with rcpclient invariably ends in "Segmentation fault" (Signal 11) immediately after pop_sec_ctx, whose push counterpart was

I would like to generate pseudo-random numbers between two numbers using R, up to a given distribution, for instance, rnorm. That is something like rnorm(HowMany,Min,Max,mean,sd) over rnorm(HowMany,mean,sd). I am wondering if dnorm(runif(HowMany, Min, Max), mean, sd) is good. Any idea? Thanks. -james

I would like to sum/mean/min a list of lists and numbers to return the related lists. -1+2*c(1,1,0)+2+c(-1,10,-1) returns c(2,13,0) but sum(1,2*c(1,1,0),2,c(-1,10,-1)) returns 15 not a list. Using the suggestions of Gabor Grothendieck, Reduce('+',list(-1,2*c(1,1,0),2,c(-1,10,-1))) returns what we want, c(2,13,0). However, it seems that this way does not work to mean/min. So, how to

This reverts commit b516ea586d717472178e6ef1c152e85608b0ce32. While this fixes audio for a number of users, this commit has the sideaffect of breaking the BIOS workaround that's required to make the GPU on the nvidia P50 work, by causing the GPU's PCI device function to stop working after it's been set to multifunction mode. Signed-off-by: Lyude Paul <lyude at redhat.com>

I am wondering if you know how to return by function or show in boxplot, the indexes of unusual points, such as, points that are outside the box or in [Q3+1.5IQR,Max]. For example, > boxplot(c(4,rnorm(20),8)) There are 2 unusual points 4 and 8. How to show the indexes of 4 and 8 in the boxplot or return them by function? Thanks, -james

This series fixes some intermittent issues with bringing up the dedicated GM107 GPU that I've been observing on my ThinkPad P50. More details within. Lyude Paul (2): drm/nouveau: Fix GM107 disp core chan init on ThinkPad P50 drm/nouveau: Fix GM107 disp dmac chan init on ThinkPad P50 .../drm/nouveau/nvkm/engine/disp/coregf119.c | 21 +++++++++++++++++--

I would like to know whether there is a faster way to do the below operation (updating vec1). My objective is to update the elements of a vector (vec1), where a particular element i is dependent on the previous one. I need to do this on vectors that are 1 million or longer and need to repeat that process several hundred times. The for loop works but is slow. If there is a faster way, please let

Dear R-group members, I use: platform i386-pc-mingw32 arch x86 os Win32 system x86, Win32 status major 1 minor 4.1 year 2002 month 01 day 30 language R I try to fit a 2 compartment model. The compartments are open, connected to each other and

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