similar to: Legend in the outer margin

R-users it appears I am leaning on your knowledge once again.  Is there any way to add a vertical line to a histogram and qplot "stacked" plot?  Here is my current attempt:   "qplot" approach attempt: qplot(Run, data = data_dataframe, breaks = breaks, fill = Temperature, main = short_title) + scale_x_continuous("Data") + scale_y_continuous("Freq")

Dear R helpers: Thanks for the previous reply. I am using Friedman racing test. According the the book "Pratical Nonprametric Statistic" by WJ Conover, after computing the statistics, he suggested to use chi-squared or F distribution to accept or reject null hypothesis. After looking into the source code, I found that R uses chi-sqaured distribution as below: PVAL <-

Dear Rs: outer(1:3, 1:3, function(df1, df2) qf(0.95, df1, df2)) I compare this F distribution results with the table, the answers were perfect. But I need to see for chi-sqaured distribution. When I employed the similar formula outer(1:3, 1:3, function(df1, df2) qchisq(0.95, df1, df2)) , I am getting unexpected results. I need to see the following values: p=0.750 ..... 1 1.323

Hi The following is a database table named friends. +-----+------+------+-------+ | sid | id | fid | ftype | +-----+------+------+-------+ | 30 | 1 | 2 | F | | 31 | 1 | 3 | R | | 32 | 3 | 2 | F | | 33 | 3 | 4 | F | +-----+------+------+-------+ I want to update the ftype field based on id and fid. I want to achive the following. Update friends

Dear Rs I have two vectors A and B where A is V1 d 1 0.000100000 1.123278 2 0.002186431 1.120448 3 0.004351214 1.106661 4 0.006515998 1.107713 5 0.008680781 1.107667 6 0.013010348 1.106353 7 0.019504698 1.104077 8 0.034658181 1.103202 9 0.051976447 1.103200 10 0.073624280 1.094825 11 0.093085682 1.085123 12 0.095250465 1.087325 13 0.132051782 1.086158 14 0.168853098

Dear R-Users I have 2 questions: Firstly, If I create a matplot and legend for multiple vectors and then tag another vector on using matlines (e.g. a 'total' of all vectors), is there anyway to add the new line to the legend without recreating it? I have created the plot this way because I would like to define the lty and lwd for the 'total' vector so that it can be

Dear Rs: BY having the following code: candidates<-expand.grid(e=c("nearest-neighbor","exaustive"), d=c(70,75,80,85,90,92,94,96,98,99), n=c(20,25,30,35,40)) results in : e d n 1 nearest-neighbor 70 20 2 exaustive 70 20 3 nearest-neighbor 75 20 4 exaustive 75 20 ................ 90 exaustive 90 40 91 nearest-neighbor 92 40 92 exaustive 92 40 93 nearest-neighbor 94 40 94

Hello, We have a video conference server using tcp and udp 3001 prot in internal, external user said that can''t connect to video server and held on 3001 fail, the following is file configuration, nat: 1.2.3.4 eth1:3 192.168.0.18 rule: video/ACCEPT net loc:192.168.0.18 marco.video: PARAM - - tcp 3000 PARAM - -

Dear Rs I have a single table with three columns in the following form: 1 100 150 1 45 32 1 99 100 2 150 33 2 22 87 2 71 31 .... .... 1000 64 32 1 100 150 1 45 32 1 99 100 2 22 89 2 31 44 2 88 11 .... .... 1200 64 32 1 100 150 1 45 32 1 99 100 2 150 33 2 22 87 2 71 31 ... ... 1100 31 34 Totally 1000+1200+1100 rows. Now, I need to group by first column and average then second and third column

Hi all I want to configure glusterfs to expose iSCSI target. I followed this artical https://pkalever.wordpress.com/2016/06/23/gluster-solution-for-non-shared-persistent-storage-in-docker-container/ but when I install tcmu-runner. It doesn't work. I setup on CentOS7 and installed tcmu-runner by rpm. When I run targetcli, it not show *user:glfs* and *user:gcow* */>* ls o- /

On Wed, Sep 13, 2017 at 1:03 PM, GiangCoi Mr <ltrgiang86 at gmail.com> wrote: > Hi all > Hi GiangCoi, The Good news is that now we have gluster-block [1] which will help you configure block storage using gluster very easy. gluster-block will take care of all the targetcli and tcmu-runner configuration for you, all you need as a pre-requisite is a gluster volume. And the sad part is

`outer` (and related functions like kronecker) require that their functional argument operate elementwise on arrays. This means for example that outer( 1:2, 3:4, list) or outer(1:2,3:4,function(a,b){1}) gives an error. Is there a version of `outer`/`kronecker`/etc. that takes arbitrary functions and does its own elementwise mapping? In the first example above, I'd expect the

Dear R experts I am looking for a package which gives me latin hyper cube samples from the grid of values produced from the command "expand.grid". Any pointers to this issue might be very useful. Basically, I am doing the following: > a<-(1:10) > b<-(20:30) > dataGrid<-expand.grid(a,b) Now, is there a way to use this "dataGrid" in the package

Hello R-World, i am trying to calculate data for a DEM (Digital Elavation Model) which i also want to plot in R. i have the coordinates for the lower left corner which look something like this: x<-42,2 y<-50,5 besides i have the cellsize of the grid, which is: z<-1,1 what i do is to calculate the corrdinates of the cells to the right and top, what i can do by specifying the number of

Dear R-helpers, Please see the attached plot. The problem is that I have too much space between the x-axis label (which is mtext in an outer margin) and the plots. My par settings for this plot are: >par(mfrow=c(1,3),oma=c(2,2,2,2),mar=c(5.1,4.1,4.1,2.1),pty="s") >#here is the code that produces the three plots, which I have deleted for simplicity >mtext("Log Wetland

Guys, Just a quick check. From what i have read in the shorewall site, intrazone traffic is allowed completely by shorewall i.e. there is no filtering or packet size limiting ,etc,etc. I ask this becos after getting shorewall up and running well, someone has complained that they cannot print pdf files larger than 100k at one go but that they have to print one page at a time. Some details;

IA-32 linear address translation is loads of fun. While cleaning up the LDT code, I noticed that kprobes code was very bogus with respect to segment handling. Many, many bugs are fixed here. I chose to combine the three separate functions that try to do linear address conversion into one, nice and working functions. All of the versions had bugs. 1) Taking an int3 from v8086 mode could cause

IA-32 linear address translation is loads of fun. While cleaning up the LDT code, I noticed that kprobes code was very bogus with respect to segment handling. Many, many bugs are fixed here. I chose to combine the three separate functions that try to do linear address conversion into one, nice and working functions. All of the versions had bugs. 1) Taking an int3 from v8086 mode could cause

I propose the following small changes to pairs.default. The point is to allow control of the outer margin settings, so that there is for example room for legends. [Note also the issue re the setting of par()$usr on exit] ---------------------------------------------------------------- (1) Replace function (x, labels, panel = points, main = NULL, font.main = par("font.main"),

Dear R helpers, I have a vector of 500 numbers and I need to plot them in such a way that the first 250 values should occupy 80% of the plot and the remaining ones should take 20%. More precisely, x axis ranges form 1:500 and the idea is to give the snapshot of the first 250 values. I tried "axis()" and log="x", but I am not getting the required output. Thanks