similar to: Plotting Frequency Distribution in R

Dear all, I have a big data matrix and I want to convert those data into weekly basis which means 7 days needs to be avaraged and aggregate a single value > dput(test) structure(list(locid = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,

Hello Everyone, I am Naive user of 'R' statistical environment and still i'm in learning mode. I would like to know how to plot 2D data graphically. i.e. how to color code each cell in 2D Matrix depending on it's value --- red equals bigger numbers and blue indicates smaller. For example my 2D matrix is *4* *109.32* *108.06* *104.48* *3* *111.9* *105* *107.56* *2* *115.32* *

Hej hej, is there a way to extend the SpatialPointsDataFrame data slot?This is the structure of an object of it:> str(coord) Formal class 'SpatialPointsDataFrame' [package "sp"] with 5 slots ..@ data :'data.frame': 214 obs. of 2 variables: .. ..$ location.long: num [1:214] -79.8 -79.8 -79.8 -79.8 -79.8 ... .. ..$ location.lat : num [1:214] 9.16 9.16 9.16

Greetings, I have a data set look like this: > print(MyResult) 2 5 9 10 11 13 mean 6.108394 3.272211e+01 3.951703e+02 2.086217e+03 79.838867 2.592272e+04 median 1.288889 2.743511e+00 4.061491e+00 4.943710e+01 -2.821667 -3.040625e+00 var 2885.350595 2.343144e+05 1.022680e+06 1.200589e+07 365179.508831

I did the following test: ############################################### 1. Computer with Centos 7.5 installed on hard drive /dev/sda. Added two hard drives to the computer: /dev/sdb and /dev/sdc. Created a new logical volume in RAID-1 using RedHat System Storage Manager: ssm create --fstype xfs -r 1 /dev/sdb /dev/sdc /mnt/data Everything works. /dev/lvm_pool/lvol001 is mounted to

Given a data frame consisting of a pointID and 12 pairs of (lat, long) variables, with names latA, longA, latB, longB, ... latL, longL, I want to reshape it into a data frame with the structure point source lat long 1 A ... ... 1 B ... ... I've looked at reshape and plyr, but can't figure out how to do this. Details of my data frame are below

Hello, I am using package MuMIn to calculate AIC for a full model with 10 explanatory variables. Thanks in advance in sharing your experience. Q1 In the AIC list of all models, each model is differentiated by model number. Please kindly advise if it is possible to find the corresponding explanatory variable(s) for the model number. Q2 error message I tried to display sub-model with only

With current dragonegg svn, the Polyhedron 2005 benchmarks all now pass when using the compiler plugin under FSF gcc 4.6.1 on x86_64-apple-darwin11. The differences between the runtime and compile times when using the same plugin under FSF gcc 4.5.4svn are small. Once new vector_select feature is available in llvm and -fplugin-arg-dragonegg-enable-gcc-optzns supports -ftree-vectorizer we might see

When I change /etc/fstab from /dev/mapper/lvol001 to /dev/lvm_pool/lvol001, kernel 3.10.0-514 will boot. Kernel 3.10.0-862 hangs and will not boot. On Sat, Jul 14, 2018 at 1:20 PM Mike <1100100 at gmail.com> wrote: > > Maybe not a good assumption afterall -- > > I can no longer boot using kernel 3.10.0-514 or 3.10.0-862. > > boot.log shows: > > Dependency failed for

Hello, Using the following lines of code, I created the following graph:

Hello, Using the following lines of code, I created the following graph:

hi Michael, am sorry for the incomplete reply . csv file data havinmg like this , >getSymbols("IBM") >weekly_data = to.weekly(week_name) >dataframe=data.frame(weekly_data) >outputfile_name="F:\\R-programs\\Outputfile.csv" >write.table(dataframe, file =outputfile_name,sep = ",",col.names =TRUE,row.names = T) > datafrom_table <-

On Tue, May 09, 2017 at 02:59:51AM +0000, Zhangxiaoxu via samba-technical wrote: > Hi, > Thanks a lot. > > Use the valgrind, we found the stack of the malloc as below, so, maybe it is not memory leak. > ==2796353== 36,334,440 bytes in 100,929 blocks are still reachable in loss record 774 of 774 > ==2796353== at 0x4C2AB80: malloc (in

HI, I am trying to find out why an old slower machineis faster than a new faster machine. I have a RedHat 6.2 server installation, it runs samba and I have been very happy with it. Filesystem is:- [darryl@keg darryl]$ df -h Filesystem Size Used Avail Use% Mounted on /dev/hda6 1.2G 735M 387M 66% / /dev/hda1 40M 3.0M 35M 8% /boot /dev/hdc1

Hi all; Just to ask if you know about any available function in R to identify points in a image plotted in X11. Something like the function identify(), but able to extract (x,y,value) groups from the image. Thanks and best regards, Javier

Dear List, i am trying to produce a 3d plot using wireframe using the code: wireframe(Residuals_FD ~ Elevation * Temperature, data = data2, scales = list(arrows = FALSE), drape = TRUE, colorkey = TRUE) As you can see when the code (using the data below) is run the plot area is set-up correctly but the actual surface is missing? Any help would be greatly appreciated. Chris #data Elevation

I just finished up a port of Andy Polyakov's excellent dvd+rw-tools to FreeBSD, and he has incorporated the patches into his release: http://fy.chalmers.se/~appro/ http://fy.chalmers.se/~appro/linux/DVD+RW/ http://fy.chalmers.se/~appro/linux/DVD+RW/tools/ (version 5.8.4.4.4) These tools support DVD-R, DVD-RW, DVD+R, and DVD+RW format dvd burners, including the popular Sony

Hello, Using the technique suggested here ( https://stat.ethz.ch/pipermail/r-devel/2007-September/047028.html), we can update a matrix in place (see example 1 below), with huge time and memory savings. Is it possible to tweak example 2 to update in place also? The only difference is that the matrix is held within a new environment. Thanks, Simon # example 1 - fast and doesn't

I have a dataframe that has a header like so: class value1 value2 value3 class is a factor the actual values in the columns value1, value2 and value3 are 0-255, I wish to binarize these using biclust. I can do this like so: binarize(dataframe[,-1]) this will return a dataframe, but then I lose my first column class, so I thought I could combine it like so: dataframe <-

Hi, I need some help with running a recursive function. I like to run funlp2 recursively. When I try to run recursive function in another function named "calclp" I get this "Error: any(!dat2$norm_sd) >= 1 is not TRUE". I have never built a recursive function before so having trouble executing it in this case. I would appreciate any help or guidance to resolve this issue.