similar to: Dataimport with readLines using skip= and nlines= ?

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

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

Hello, 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. With the following line I got the median value of z for all "x" AND "y" witch are the same (not every measurment in my list hast the same number of "x" and "y" values. Sometimes lines are missing. >MEDIAN <-

Readers, Data was imported using the read csv command: dataimport<-read.csv("/path/to/dataimport.csv") 10,2000 12,2001 13,2002 15,2003 17,2004 Using the help contents for 'predict.lm' (i.e. ?predict.lm) a new data frame was created dataimportextra<-data.frame(x=seq(1990,2010,1)) predict(lm(dataimport),dataimportextra[,2],se.fit=TRUE)

Full_Name: Kamil Barto? Version: 2.8.0 OS: windows xp Submission from: (NULL) (212.33.92.187) According to the "deparse" function documentation "nlines" is the *maximum* number of lines to produce. But, when "nlines" argument is supplied, it produces exactly nlines of result, and the result contains empty elements at the end. Example: >

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

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

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

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

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. >

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

Hi, I have a vector of time in days t<-1:48. I have observations and the day they were recorded. I also have a vector, S which takes different values depending on which day the observation was recorded. For example if on day 1 all in vector S get a value of 46/48, on day 2 get 42/48, day 3 38/48, decreasing by 4/48 each time until day 12 gets the value 2/48. Then for any day greater than 12

Dear Ladies and Gentlemen, I have several old, yet functioning APC Smart-UPS (Model 600LS, Part AP600I, Firmware 6JI, no EEPROM, from 1991). They are not supported by Powerchute any more. I run NUT 2.6.5-4 on Windows XP SP3. I use COM1 port with cable 940-0024C. The connection fails with APC Smart protocol driver 3.0 (2.6.3-3534:3540M), APC command table version 3.0 or higher - it works with APC

Dear list, I am trying to create a three-way table with percent occurrence instead of raw frequencies. However, I cannot get the results I expected: I have the following table: > ftable(table( mannerDF$agem, mannerDF$target, mannerDF$manner )) <snip> 50 bak 0 0 0 0 1 0 pak 0 0 0 0 3 0 sak

I have the following matrix: > dat [,1] [,2] [,3] [,4] foo 0.7574657 0.2104075 0.02922241 0.002705617 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 and given this:

Am 06.03.2017 um 16:06 schrieb Rowland Penny: > On Mon, 6 Mar 2017 15:48:32 +0100 > Reindl Harald via samba <samba at lists.samba.org> wrote: > >> well, there is nothing different when you use rpmbuild and chose the >> prefix you want besides that: >> >> * cleanup of orphan files >> * simpe upgarde/downgrade because you have your prebuild .rpm files

UseRs, I am working on a dataset (see small example below) where individuals were followed on a specific date-time combo and multiple repeated measurements were taken (e.g., height in meters, behavior class in 2 letter code). Observation numbers varied between individual (ranging from 1 observation for each date-time combo to >50) I am trying to summarize the data into 1 row per

Hello all! I want to estimate parameters in a MIMIC model. I have one latent variable (ksi), four reflexive indicators (y1, y2, y3 and y4) and four formative indicators (x1, x2, x3, x4). Is there a way to do it in R? I know there is the SEM library, but it seems not to be possible to specify formative indicators, that is, observed exogenous variables which causes the latent variable. Thanks,

Hallo R Users, Please help I have some distance matrix data like > M[1:10,] [,1] [,2] [,3] [,4] [,5] [,6] [1,] 0.8750000 0.5000000 0.5000000 0.3750000 0.6250000 0.00000000 [2,] 0.8928571 1.0000000 0.0000000 0.8928571 0.1071429 0.00000000 [3,] 0.8928571 1.0000000 0.0000000 0.8928571 0.1071429 0.00000000 [4,] 0.8928571 1.0000000 0.0000000 0.8928571