similar to: factor differences in anova

Greetings, A couple general questions regarding the use of splines to interpolate depth profile data. Here is an example of a set of depths, with associated attributes for a given soil profile, along with a function for calculating midpoints from a set of soil horizon boundaries: #calculate midpoints: mid <- function(x) { for( i in 1:length(x)) { if( i > 1) { a[i] = (x[i] -

Buenas erreros!! Una cuestión de las que tengo ciertas dudas es saber en que se diferencian Spark y H2o, si son competencia, si valen para lo mismo o no.... Según lo poco que se, Spark es una manera de agilizar el Map-Reduce, y con la libreria MLlib, puedes hacer datamining de grandes datasheets, y si lo conectas con R o con Python, puedes usar ese lenguaje. H2O es una herramienta que nos

Hello, I'm looking for a way to plot different data series on one graph. I have a series of hourly rainfall and quarterly flow measurements (i.e. 4 times an hour) of a catchment. The rainfall should be plotted in bars, the flow as a line. Both on the same X axe (time) but with different Y axes. The problem is the plot() function does not support add=TRUE... Furthermore I'm not sure

R- Users: Can someone indicate what I am during wrong? This is a script essentially from Venerable & Ripley's text on interpolating a surface with loess function but I can not get it to run. Thanks. John Lewis Professor McGill University Montreal library(MASS) library(modreg) data(topo) par(mfcol=c(2,2), pty="s") topo.loess <- loess(z ~ x * y, topo, degree=2,

I'm reading Ripley-Venables "Modern Applied Statistics with S - Fourth edition" , at the same time trying the examples proposed in the book using R 1.8.1 under linux. Now I'm trying the following code from the book (example code of spatial statistics at page 76) with R : | data(topo) library("spatial") topo.loess<-loess(z ~ x * y, topo, | degree= 2,span=0.25) |

Hi Folks, I'm probably overlooking some small point, but can't see it. Trying the "Local trend surfaces" example from p.437 of MASS (3rd edn) by V&R, all goes well until the line contour(topo.mar$x, topo.mar$y, topo.lo$fit, levels=seq(700,1000,25), xlab="fi t", ylab="") which produces the response: Error in contour.default(topo.mar$x,

Although the 'spatial' documentation doesn't mention that extractAIC works, it does seem to give an output. I may have misunderstood, but shouldn't the following give at least the same d.f.? > library(spatial) > data(topo, package="MASS") > extractAIC(surf.ls(2, topo)) [1] 46.0000 437.5059 > extractAIC(lm(z ~ x+I(x^2)+y+I(y^2)+x:y, topo)) [1]

http://go.cloudera.com/ml-h20-es-webinar?src=email1&elqTrackId=af5517eab2f543afbb31a0686d9ca566&elq=c68d9a8c25ba4b12944b8065d8a06e33&elqaid=4541&elqat=1&elqCampaignId= El 22 de junio de 2017, 22:59, Carlos Ortega <cof en qualityexcellence.es> escribió: > Hola, > > Tendrás RStudioServer en un nodo frontera de tu clúster. Y cuando lees > algo te lo estás

Hi list, there always seem to be a small margin between the actual plot and the axes/box around the plot. For instance, in plot(c(0,1),c(0,1)) the 2 points do not lay on the box around the plot but slightly more to the center. Which parameter controls this margin and is it possible to eliminate it? thanks, Wouter

I'm trying to find a way to fit a polynomial of degree n in x and y to a set of x, y, and z data that I have and obtain the coefficients for the terms of the fitted polynomial. However, when I try to use the surf.ls function I'm getting odd results. > x <- seq(0, 10, length=50) > y <- x > f <- function (x, y) {x^2 + y} > library(spatial) > test <-

Buenas noches: Estoy realizando un documento rmarkdown donde realiza un modelo de random forest con la librería H2O, el problema lo tengo cuando lo compilo con knit a pdf, ya que en el documento me sale con rayas con el porcentaje de entrenamiento que lleva. ¿Alguien sabe como eliminarlas para que no aparezca en el documento en pdf? [cid:image001.png en 01D49FC5.4D2AEEE0] Muchas Gracias. Un

I have a set of data for US t-bill returns and US stock returns frm 1980-2012. I am trying to bootstrap the data and obtain the minimum variance portfolio and repeat this portfolio 1000 times. However I am unable to get the correct code function for the minimum variance portfolio. When I tried to enter Opt(OriData+1, 1, 5, 0), I get "error:subscript out of bounds" Please help!

Dear useRs, I got stuck trying to generate a palette of topographic colors that would satisfy these two requirements: - the pallete must be 'anchored' at 0 (just like on a map), with light blue/lawn green corresponding to data values close to 0 (dark blue to light blue for negative values, green-yellow-brown for positive values) - the brown must get darker for higher positive

I have a huge dataset(15k X 18) and tried to use the heatmap in R to examine the patterns. However, I found that heatmap and heatmap.2 gave me completely different outputs. Here are the codes: ------------ > dim(as.matrix(data.dcpm)) [1] 15462??? 18 > > heatmap(as.matrix(data.dcpm), col=topo.colors(100)) > heatmap.2(as.matrix(data.dcpm), col=topo.colors(100), key=TRUE,

Hi, First question: "/module" is mapped to a special file that reads a kernel module passed in by the bootloader. Much like GRUB, kiwi's bootloader loads a kernel and can load one or more extra files into memory. These are passed to the kernel. The horizon kernel expects one file, which it makes accessible at "/module". This should be set up to be whatever you set

Can anyone please hazard a guess at an estimate for a poor old squirrel hunter with a Very Very Dumb Question? Is wine likely to be able to install and run any of the proprietary GPS-interfacing topo map programs (DeLorme, Garmin, Mapquest, et al.) at any roughly predictable future date? The season opens in three weeks, my GPS (Garmin's etrex vista) is full -- and it still contains road maps

Dear list members I'm currently working on some topographic (elevation) data, and was somewhat surprised that the 'topo.colors' and 'terrain.colors' are of little to no use here. The problem is that these functions only return a palette of colours; they don't map depth values to colours. So if I plot (using 'image', 'persp' or similar functions) and

Hello, I'm doing some linear regression: >lm<-lm(osas~alp,data) >summary(lm) However, the Rsquared in the output of summary() is not the same as the "standard" Rsquared calculated by spreadsheets, and outlined in statistical guidebooks, being SSR/SSTO. The output says "multiple Rsquared", but it is no multiple regression... What's the difference? Thanks,

Hello all, The subject line is a little ambitious, although that is my ultimate goal, to be able to run the National Geographic TOPO! program to look at maps of Arizona and California on my laptop using only Linux. I don't even own a copy of Windows, nor do I desire to, so hopefully Wine will be my friend. So far it isn't though. I haven't even got as far as trying to run TOPO! I

Hi James, I have two questions for you. Firstly, what is the role of 'module' in init.cc? I can see that its being treated like it is a 'bytecode' file, as we open it and then pass it to the ByteCoder and eventually construct llvm module from it. Like In file init.cc, line:121 FILE *stream = fopen("/module", "rb"); ... fread(c, 1, sz,