similar to: Trying to understand cut

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

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

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]"

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

ear folks ? I have a question, though it is more of a logic- or a good practices-question than a programming question per se. I am working with data from the American Community Survey summary file. It is mainly categorical count data. Currently I am working with about 40 tables covering about 35 variables, mainly in two-way tables, with some 3-way and a handful of four-way tables. I am going to

Hi, this is probably quite simple but I can't seem to do it correctly. I have a data frame of counts of infections in different ages; something like: count=c(1, 1, 1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 7, 8, 8, 9, 9, 10, 11, 15, 17, 17, 17, 17, 19, 19, 19, 19, 20, 20, 20, 21, 21, 21, 22, 22, 22, 22, 23, 23, 23, 23, 23, 24, 24, 25, 27, 31, 33 ) age=c(3, 8, 9, 7, 56, 58, 10, 13, 53, 55, 11,

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

Dear Community, I have been using two types of survival programs to analyse a data set. The first one is an R function called aftreg. The second one an STATA function called streg. Both of them include the same analyisis with a weibull distribution. Yet, results are very different. Shouldn't the results be the same? Kind regards, J -- View this message in context:

I have 'grouped' data, that is in the form of: Interval Median 0-9.9%: -25 10-19.9%: 0 20-29.9%: 3 30-39.9%: 10 40-49.9%: 50 50-59.9%: 200 et cetera and want to fit a three parameter gamma distribution. Does anyone know of an existing routine for doing this (or something similar)? Any help or comment is much appreciated. Regards, M?rten M?rten

Hi R-Help, I would like to make filled contour maps of ocean data overlaid by costlines from the map package. I can draw the filled contours and the coastlines om the same plot, but the filled contour also covers part of the land. To get rid of that I tried to draw a filled coastline map on top of the filled contour, but the filled map only draws the closed contours - so most of the land is

Hi all I know this must be an easy one so sorry for the trouble. I would like to select a list of variables within a factor The following example is given in help for subset: subset(airquality, Temp > 80 select = c(Ozone, Temp)) So how do I select all temperatures of 90 and 80 ie Temp = c(80,90) I would appreciate your help. Kind regards andy Andrew McFadden MVS BVSc Incursion

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

Greetings, I would like to plot three lines on the same figure, and I am lost. There is an answer to a similar thread… but I tried matplot and it is beyond me. An example of the data follows: Year EM IM BM 1983 9.1 16.8 -7.7 1984 12.0 18.0 -6.0 1985 13.6 19.1 -5.5 1986 12.4 17.3 -4.9 1987 14.6 20.3 -5.7 1988 20.6 23.3 -2.6 1989 25.0 27.2 -2.2 1990 28.4 30.2 -1.8 1991 33.3 31.2 2.1 1992 40.6

I am doing a reanalysis of results that have previously been published. My hope was to demonstrate the value of adoption of more modern regression methods in preference to the traditional approach of univariate stratification. I have encountered a puzzle regarding differences between I thought would be two equivalent analyses. Using a single factor, I compare poisson models with and without

Hi, I'd like to add "alpha" in latex code to my image. Any suggestions? library(UsingR) BagA = c(rep(10,6),rep(20,5), rep(30,4),rep(40,3),rep(50,2),60,70) BagA BagB = c(10, 20,rep(30,2),rep(40,3),rep(50,4),rep(60,5),rep(70,6)) BagB par(mfrow = c(2, 1)) DOTplot(BagA) abline(v=60,lwd=2,lty=2,col="red") text(65,3, "alpha-->", col=2) abline(v=50, lwd=2, lty=2,

Hola. Siguiendo a Mittal (2001); R Graph Cookbook creo haber logrado construir el gráfico de barras que buscada. La matriz que utilizo para el "height" va adjunta. Y mi sintaxis: barplot(t(barras), col=col.segmentos, border=F , names.arg=Meses, las=2, cex=.75, cex.axis=0.8 , ylab="% del Segmento sobre el Total") legend(.5, .2, ncol=5, cex=.75,

Here is the example. > age=18:29 > height=c(76.1,77,78.1,78.2,78.8,79.7,79.9,81.1,81.2,81.8,82.8,83.5) > type=c("A", "B", "C", "D","A", "B", "C", "D","A", "B", "C", "D") >

Hello, I submitted this bug report to r-core and got a rejection saying I should post to r-help. This is my first time ever submitting a bug report, so forgive me if I'm using some wrong format. So, here's my bug report: Component: Graphics OS: Mac OS 10.5.8, X11 XQuartz 2.5.0 Summary: In the symbols function of the graphics package, scaling of the y-axis is wrong, causing symbols

Hi R Users, I am going to run a multiple linear regression with around 57 independent variables. Each time I run the model with just 11 variables, the results are reasonable. With increasing the number of independent variables more than 11, the coefficients will get ?NA? in the output. Is there any limitation for the number of independent variables in multiple linear regressions in R? I attached

On Tue, Aug 26, 2014 at 11:02 AM, Damien Miller <djm at mindrot.org> wrote: > The other good news is that it has made it to unittests :) > > Indeed ... patch applied - and everything builds (yay!) - waiting on test suite to complete. Will go test on the RHEL 5 VM's and see how the 1.0.0-fipsmsystems fare. full report later today.