similar to: Adding Latex to text

All, Consider: BagA <- c(-1000,10,10,10,10,10,10, 10,20,20,20,20,20,20,30, 30,40,40,50,60) BagB <- c(10,20,30,30,40,40,50,50, 50,50,50,50,60,60,60,60, 60,60,60,1000) layout(c(2,1)) barplot(table(BagB)) barplot(table(BagA)) At this point, I'd like to arrange the plots so that the 10-bars are aligned, the 20-bars are aligned, etc. So, I started

All, I am looking at an example in Aliaga's Interactive Statistics. Bag A has the following vouchers. BagA <- c(-1000,10,10,10,10,10,10, 10,20,20,20,20,20,20,30, 30,40,40,50,60) Bag B has the following vouchers. BagB <- c(10,20,30,30,40,40,50,50, 50,50,50,50,60,60,60,60, 60,60,60,1000) Two values are selected (from BagA or BagB) without

I am trying to understand cut so I can divide a list of numbers into 10 group: 0-9.0 10-10.9 20-20.9 30-30.9, 40-40.9, 50-50.9 60-60.9 70-70.9 80-80.9 90-90.9 As I try to do this, I have been playing with the cut function. Surprising the following for applications of cut give me the exact same groups. This surprises me given that I have varied parameters include.lowest and right. Can someone

Have you read FAQ 7.31 recently, John? Your whole premise is flawed. You should be thinking of ranges [0,10), [10,20), and so on because numbers ending in 0.9 are never going to be exact. -- Sent from my phone. Please excuse my brevity. On April 16, 2016 7:38:50 PM PDT, John Sorkin <jsorkin at grecc.umaryland.edu> wrote: >I am trying to understand cut so I can divide a list of numbers

Hello... I have a big problem with asterisk. Every time i make a call asterisk does not bridge the zap channels. The zap channel from which i'm calling remains in state:ring and applicaton:dial and the zap channel with the external line configured remains in state:dialling an Application:AppDial. Zap/20-1 agentie s 1 Dialing AppDial (Outgoing Line) 09399 (None) Zap/9-1 int_omg 09399 5 Ring

Dear list, I would like to format the result of the 'cut' function to perform a subsequent frequency distribution table (fdt) suitable for publications. Below an reproducible example: set.seed(1) x <- c(rnorm(1e3, mean=10, sd=1), 50, 100) start <- 0 end <- 110 h <-10 c1 <- cut(x, br=seq(start, end, h), right=TRUE) levels(c1) # I get: # [1] "(0,10]"

Jeff, Perhaps I was sloppy with my notation: I want groups >=0 <10 >=10 <20 >=20<30 ...... >=90 <100 In any event, my question remains, why did the four different versions of cut give me the same results? I hope someone can explain to me the function of include.lowest and right in the call to cut. As demonstrated in my example below, the parameters do not seem to alter

This must be FAQ, but I can't find it in archives or with a site search. I am trying to construct a frequency table. I guess this should be done with table. Or perhaps factor and split. Or prop.table. cut? findInterval? Argh! Please correct me if what I am looking for is not called a "frequency table". Perhaps it's called grouped data. > zz$x9 [1] 65 70 85 65 65 65 62 55

Hello, Consider two following cases: 1. On production systems on television stations, a sysadmin give teens (remaja group, age 13 and older) full administrator privileges by adding this line to sudoers: %remaja ALL=(ALL:ALL) ALL Rationale: Almost all programs on the system can only be run by teens as root. 2. On production systems on tobacco factories, a sysadmin also give adults (age 18

runif appears to give 31 bits of precision, but this isn't mentioned in the documentation page. The R numeric type supports 53 digits of precision, and other numeric functions (sin, etc.) give full-precision results. So I'd think that either runif should give full precision or its documentation should mention this limitation. #integers table(runif(10000,-2^30,2^30) %% 1) 0 0.5 4972

Hello CentOS users, Currently I have compiled kernel version 4.19.37, which the source is from kernel.org. I compiled the kernel by following steps: - get the kernel tarball and unpack it - install prerequisties as described in https://wiki.centos.org/HowTos/Custom_Kernel (in addition bc and openssl-devel) - copy the kernel configuration: $ cp /boot/config-3.10.0-957.21.3.el7.x86_64

I have a question about the D'Agostino skewness test and the Anscombe-Glynn kurtosis test. agostino.test(x, alternative = c("two.sided", "less", "greater")) anscombe.test(x, alternative = c("two.sided", "less", "greater")) The option "alternative" in those two functions seems to be the null hypothesis. In the output, the

On 26/06/19 23.51, Akemi Yagi wrote: > On Wed, Jun 26, 2019 at 5:20 AM Bagas Sanjaya <bagasdotme at gmail.com> wrote: >> Hello CentOS users, >> >> Currently I have compiled kernel version 4.19.37, which the source is from kernel.org. I compiled the kernel by following >> steps: >> - get the kernel tarball and unpack it >> - install prerequisties as

Hey guys, I am dealing with this kind of data. To read the file in R I have nulled all empty fields and tried: date BRENT BRENTchg HWWI HWWIchg Jan. 86 22,5 NULL 68,1 -15,6 Feb.86 17 NULL 64,9 -21,6 Mar. 86 13,7 NULL 66,6 -19,5 Apr.86 12,3 NULL 63,6 -19,1 May 86 14 NULL 61,5 -20,9 June 86 11,8 NULL 59,8 -20,7 July 86 9,4 NULL 57,2 -19,3 Aug.86 13,2 NULL 55,5 -18,3 Sep.86 14,2 NULL 57,5 -15,1

> On Aug 16, 2019, at 6:21 AM, Warren Young <warren at etr-usa.com> wrote: > > On Aug 15, 2019, at 11:04 PM, Bagas Sanjaya <bagasdotme at gmail.com> wrote: >> >> Based on above cases, is it OK to give group of random users full administrator privileges using sudo, by adding them to sudoers with ALL privileges? Should sudoers call customer service number instead

Hi: I am coding some interactive interface using an xyplot from lattice. When a user clicks on a panel of the xyplot, a simulation is executed and the resulting data is plotted on the corresponding panel. The problem is that I start with an empty data frame and only fill it as the user request data from simulations. And, I have found it impossible to create a conditional plot that contains panels

Hello. First: R 2.3.1 on Windows XP. I am trying to add information (sample size) to the Trellis strips which I am successful using the trellis.focus function with the default Windows device. However, I typically use the postscript device as I use LaTeX and \includegraphic for incorporating graphs into stat reviews. Here's some example code (apologies for the lack of creativity and

Having found the online version of SimpleR, I wanted to to download the respective data: "The data sets for these notes are available from the CSI math department (http://www.math.csi.cuny.edu/Statistics/R/simpleR) and must be installed prior to this." There it says: "The simpleR package is now inside the UsingR package available from CRAN. In the Windows GUI, this may be

I am a new R user and so I thought I could start with "Using R for Introductory statistics" by Verzani. In order to use some of the functions and datasets I have to install the simpleR package which is is now inside the UsingR package. I did so using >install.packages("UsingR"). However, the functions such as "simple.freqpoly.R" do not work. I also tried to

Hi guys still have the problem to setup the IVR correctly. I am forwarding call from ser : if (method == "INVITE") { if (uri =~ "sip:1[0-9]{10}@*"){ log(1, "Forwarding to Asterisk\n"); rewritehostport("xxx.xxx.xxx.xxx:5061"); t_relay(); break; } } inside sip.conf