similar to: Get the difference of values to their own median value

Hello, I have got a question. I've got a matrix (mail end) with the colnames x, y, z. In this matrix are different measurements. x and y are risign coordinates. My question. Always, if the "x" AND "y" coordinates are the same, I want to get the mean of their z values. e.q. " x" AND "y" in line1 and line8 are identical: 29 4.5 --> mean of

Hello, I have got a numeric matrix with three colums of a few measurments. My x and y coordinates are rising numbers. The z coordinate is the measurment. In my matrix if have got ~6000 sorted values for one measurments multiplied with the number of measurments. An example in the end. My aim is to get the "mean values" and "standard deviation" for each value between the

Hello, I have a problem with readLines. I have a data file with many informations added with a different number of measurments (example at the end). I only want to read the measurments witch start with "START OF HEIGHT DATA" and end with "END OF HEIGHT DATA". The difficulty is: -I want to read the file with "readLines", because the measurments have letters and

Hello, following functions doesnt work correct with my data: median(), geo.mean(). My datafiles contain more than 10.000 lines and six columns from a flow-cytometer-measurment. I need the arithmetic and geometric mean and median. For the calculation of the geometric mean i wrote following function: fix(geo.mean) function(x) { n<-length(x)

Hello All: I am very new to R and am trying to import some (107) text files into R while simultaneously manipulating the data into a structure that I can use. Below is a description of what I am trying to ultimately accomplish. However, I find that I am unable to even read one file into R using the read.table function. I get the following error: > test<-read.table("test4.txt")

Hello, I import datas from an file with: readLines But I need only a part of all measurments of this file. These are between two borders "START" and "END". Can you tell me the syntax of grep(), to choose values between two borders? My R Code was not succesful, and I can't finde anything in the help. Thank's a lot. Felix ######### R-CODE ################### file

Hi, I want to perform goodness of fit test for multinominal distribution. The easiest way would be to use Chi2, but the measurment errors are not normally distributed. I thought about using some bootstraping method to perform the analysis. How can I do it in R? Tomek -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi, I have two series of data set (it's measurment of growth but under two different conditions). To model these data I use the same function which is : formula <- y ~ Asym_inf + Asym_sup * ( (1 / (1 + (n1 * (exp( (tmid1-x) / scal1) )^(1/n1) ) ) ) - (1 / (1 + (n2 * (exp( (tmid2-x) / scal2) )^(1/n2) ) ) ) ) After the estimation of the parameters thanks to "nls", I have 2

Dear R-list, I have a plot with y-axis corresponding to wind measurments and x-axis with date-time information. When I want to identify some extrem wind events in the wind-curve, I use locator() to get the exact date-information, by clicking in the points in graph I?m interested in. I get in the R console the x and y coordinates. The x coordinates are not in a POSIXct format, I guess R is

Hi all, I'm searching for a little clarification on partial mantel tests (ecodist package) I've a distance matrix (x,y), and several others containing environmental/chemical variables. Based on the help file, and the package instructions I've managed to implement the tests as; var1 ~ env1 + space to partial out the effect of space and test the relationship between the

On Tue, 17 Apr 2007, David Greene wrote: > I'm actually fairly nervous about using inheritance this way. I know > it's done like this all over LLVM but the Template Method pattern is > often better. You don't _really_ need dynamic polymorphism for things > like this. Static polymorphism is sufficient and it has the advantage > of more flexibility for reuse

Hello, I have a problem with the import of a date file. I seems verry tricky. I have a text file (end of the mail). Every file has a different number of measurments witch start with "START OF HEIGHT DATA" and ende with "END OF HEIGHT DATA". I imported the file in a matrix but the letters before the numbers are my problem (S= ,S=,x=,y=). Because through the letters and the

I'm working with a genomic data-set with ~31k end-points and have performed an F-test across 5 groups for each end-point. The QA measurments on the individual micro-arrays all look good. One of the first things I do in my work-flow is take a look at the p-valued distribution. it is my understanding that, if the findings are due to chance alone, the p-value distribution should be uniform. In

Chris Lattner wrote: > This is a very detailed design point. I don't think it makes sense > to talk about this until we are further along :). It's actually a fundamental design decision and therefore needs to be talked about up front. I understand where you're coming from but static polymorphism is the design I'd choose. It's important to get the sense of the

All, In the function below I have 24 individuals and 6 calculations per individual. The 6 calculations are collected each time in a 1:24 loop when calculating "delta". I'd like to collect all 144 = 24*6 calculations in one vector ("delta.patient.comb"). The function works as is via indexing, but is there an easier way to collect the measurements via appendinng the 6

These data represent stream channel cross-sectional surveys. I would like to be able to find the measurement on the tape (measure) where the Bank Full Depth (bkf_depths) is 0. This will happen twice because the channel has two sides. I thought fitting a loess line to these data and then predicting the measurment number would do it. I was wrong. Below is my failed attempt. My naive thought is

Dear R Users, I have searched through the archives but I am still struggling to find a way to process the below dataset. I have a dataset that has stratum and plot identifier. Within each plot there is variable (Top) stating the number of measurments that should be used to to calculate the mean to the largest "top" elements within one of the vectors (X). I would like to process

On 03/01/2018 07:21 PM, nouveau-request at lists.freedesktop.org wrote: > > Message: 1 > Date: Thu, 1 Mar 2018 08:15:55 -0500 > From: Ilia Mirkin <imirkin at alum.mit.edu> > To: Mario Kleiner <mario.kleiner.de at gmail.com> > Cc: nouveau <nouveau at lists.freedesktop.org> > Subject: Re: [Nouveau] [PATCH] Fix colormap handling at screen depth > 30. >

Hello, i have a problem with the function nls(). This are my data in "k": V1 V2 [1,] 0 0.367 [2,] 85 0.296 [3,] 122 0.260 [4,] 192 0.244 [5,] 275 0.175 [6,] 421 0.140 [7,] 603 0.093 [8,] 831 0.068 [9,] 1140 0.043 With the nls()-function i want to fit following formula whereas a,b, and c are variables: y~1/(a*x^2+b*x+c) With the standardalgorithm

Hi all, i purchased a copy of the book Morphometrics with R by Springer. at the end of each chapter there are exercises to train what you just read and (hope) learned... so i have this problem: Define a hypothetical data frame containing five measurments normally distributed(size,head,pectoral,area,weight) for four individuals (named ind1, ind2, etc). ADD A COLUMN corresponding to the