similar to: Normal distribution

Hi all, I need to automate a process in order to prepare a a big loop in the future but I have a problem with the *command function* First I fit a model with lm > model1<-lm(data2[,2]~data2[,1]+I(data2[,1]^2)+I(data2[,1]^3)+I(data2[,1]^4)) I extract the coefficients to build the polynomial. coef<-as.matrix(model1$coefficients) In the next step I need to define the polynomial to

Toda la razon!!! merge era todo! Saludos El mié., 20 mar. 2019 a las 10:57, Carlos Ortega (<cof en qualityexcellence.es>) escribió: > Hola Mauricio, > > No, creo que no es lo que dices.. > > Con merge, indicas por qué columna (pueden ser varias) quieres juntar los > dos dataframes y con los parámetros "all.x", "all.y" y "all" indicas si

Hi all, I?m fitting GLM?s and I can?t interprete the coefficients when I run a model with interaction terms. When I run the simpliest model there is no problem: Model1<-glm (Fishes ~ Year + I(Year^2) + Kind.Geographic + Kind.Fishers + Zone.2 + Hours + Fishers + Month, family = poisson(log)) # Fishes, Year, Hours, and Fishers are numeric, Kind.Geographic, Kind.Fishers, Zone.2 and

*Hello all ** I am a newbie to R plotting maps. I am trying to plot over a world map a layer of Biogeochemical provinces (BGCP) by A.R. Longhurst. Each ocean region unfortunately are quite irregular in shape (not perfect squares). In GIS this layer of ocean provinces would be a layer of polygons, which I am assuming it cannot be plotted with R. I was wondering If anybody has encounter this

Dear R-help members, I am trying to plot annotate a filled contours plot (with filled.contour) with a grid of points. I have read ways of annotating it with individual points but not with grids in another matrix. Any ideas? Thank you very much. Dario ___________________________________ Dario Martin-Benito CIFOR-INIA Dpto. Sistemas y Recursos

Estimada lista la pregunta es muy básica, pero necesito saber la Long media para cada año. Estoy pillando en el bucle. > head(talla) X Long Año 1 1 56 2016 2 2 58 2016 3 3 58 2016 4 4 58 2016 5 5 58 2016 6 6 58 2016 > tail(talla) X Long Año 2567630 2567630 86 2000 2567631 2567631 88 2000 2567632 2567632 88 2000 2567633 2567633 88 2000

I want to obtain a barplot with error bars and a mean plot with error bars with other scale on the left in the same plot. I need help to get the same x axis (centered) when overlay two plots (barplot2 and plotCI (or lineplot.CI) with errorbars), with diferent y axis. I use par (new=T) but the X axis names are not centered with the figures. An example of my data:

Hello R helpers, I would like to automate this code for many files of the same type. But I don´t know how to make it. In particular, i don´t know how to read many files each one as an r object with the name of the file. Then a for loop would be sufficient, right? Many thanks and a happy new year. Dominic datos <- read.table('global2001.csv',head=T,sep=';',stringsAsFactors=F)

Dear R users, I would like to combine lattice plot (xyplot) and standard R plot (plot and plotCI) in an unique figure. I use the function "par()" to combine plot and plotCI and I use the function "print()" to combine xyplot. I tried to use these functions to combine xyplot and plotCI and plots but they do not work. Does anybody know how I can do this? Thank you very much in

Agradeceré me ayuden con la consulta: Cómo convertir un objeto data frame en una tabla csv que pueda a su vez ser convertida en un objeto geodata De antemano, gracias por la atención, -- Ricardo Bandin Llanos rbandin@udec.cl Estudiante - Magíster Cs. m. Pesquerías Universidad de Concepción, Región del Bio-Bio, Chile Celular: (0056-41) 97949957 [[alternative HTML version deleted]]

Is there a RoR best practice wrt determing in a visitor''s browser has JS disabled? Is there even a way to find out? I''ve got a couple of pages in my app that are not going to degrade gracefully at all. I really need to point a visitor who has JS disabled down a seperate path. Any ideas? Thanks, Bill -------------- next part -------------- An HTML attachment was scrubbed...

Hi, I need some neat ways of determing a subset of binary strings. For example, x=c(0,0,1), y=c(0,1,1), z=c(0,1,0). So x is a subset of y and z is also a subset of y, but x is not a subset of z. I tried to search R functions and packages but no hits. Any ideas? Best, Jing -- Jing Tang, PhD Senior Researcher Finnish Institute of Molecular Medicine (FIMM) FI-00014 University of

Hello R users, I am working with the GAM to inspect the effect of some factors (year, area) and continuous variables (length, depth, latitude and longitude) on the intensity and prevalence of the common parasite Anisakis. I would like introduce interaction in my models, both "continuous variables-continuous variables" and "continuous variables-factor". I have read some

Hola Carlos: -Mira, mi máquina es nueva, con 16 giga de memoria Ram, así que no creo que sea problema de recursos -En general me pasa esto cuando despliego un Plot. (Después que me paro y vuelvo a mi escritorio, pasado 15 min) el plot se deforma en la pantalla y después al eliminarlo se queda pegado. -Me pasa sobre Rstudio. -Windows 7 PROF. De: Carlos Ortega [mailto:cof en qualityexcellence.es]

Hello, In response to the timing analysis attacks presented by Dawn Song et. al. in her paper http://paris.cs.berkeley.edu/~dawnsong/ssh-timing.html we at Silicon Defense developed a patch for openssh to avoid such measures. Timing Analysis Evasion changes were developed by C. Jason Coit and Roel Jonkman of Silicon Defense. These changes cause SSH to send packets unless request not to,

merge sirve pero no para cumplir la condición de si un dato es "x", buscarlo en el otro data.frame y asignarlo El mié., 20 mar. 2019 a las 10:23, Carlos J. Gil Bellosta (< cgb en datanalytics.com>) escribió: > ?merge > > El mié., 20 mar. 2019 a las 14:22, MAURICIO MARDONES (< > mauricio.mardones en ifop.cl>) escribió: > >> Amigos erreros >>

Hi, I'm trying to perform a Principal Component Analysis on meteorological data with 10 predictors. I use the library pcaMethods to obtain a lot of information (loadings, scores, mean, standard deviation, etc). How can I obtain the scores (new PC variables) for new values of weather predictors using the results of PCA analysis (loadings, mean value, standard deviation) and without

Estimado Miguel Es posible lo que dices, pero ¿tienes un servidor para instalar la parte de R?, si lo tienes ¿cuántos recursos? Me refiero a lo siguiente, puede ser que su trabajo esté excelente, pero los recursos del servidor al procesar R tengan un desmedro en la calidad (velocidad) http y de base de datos, creando una experiencia mala para el usuario. Hay alternativas, cada vez hay más

For the command 'spectrum' I read: The spectrum here is defined with scaling 1/frequency(x), following S-PLUS. This makes the spectral density a density over the range (-frequency(x)/2, +frequency(x)/2], whereas a more common scaling is 2? and range (-0.5, 0.5] (e.g., Bloomfield) or 1 and range (-?, ?]. Forgive my ignorance but I am having a hard time interpreting this. Does this mean

I'm not sure I'm barking up the right tree here, but would I need to make use of groups to plot two separate datasets within ONE panel in xyplot? The desired end result is a single xy plot of two separate (but similar in values and ranges). Full code follows, xyplot code at bottom #########Determine Frequencies ##########coastal_slope #needs the maptools package to read ESRI grid