similar to: Como modificar valores en un data frame

Hola, escribo porque tengo una gran duda como gráficas tan fáciles en Excel son tan difíciles en R? No consigo hacer una gráfica en R de estas características. Osea como puedo dividir por sitios por tamaños. En una planilla enorme tengo la primera columna son las estaciones (pero solo quiero las tres ultimas) y después muchos parámetros, en las columnas 46, 53 y 60 los promedios ponderados. Y no

Antes que nada puedes encontrar documentación sobre la librería ggplot2 que es la que yo uso para gráficos como el que quieres hacer, aunque hay otros paquetes que te pueden ser útiles: http://docs.ggplot2.org/current/ Adicionalmente a lo dicho por Carlos aquí te van otros ejemplos (los agrego porque no nos proporcionaste datos con lo que pudiéramos ver mejor lo que buscas):

Hola Javier, Intenta los siguientes cambios g4 <- function(codigo_llega, n_caracteres){ codigo_llega <- as.character(codigo_llega) if(n_caracteres == 6) res <- substr(codigo_llega, start=0, stop=4) else res <- codigo_llega res } g4 <- Vectorize(g4) x <- c('Jorge Velez','Javier Marcuzzi','Daniel Merino','Susana deus Alvarez', 'Carlos

Dear all, Does any one knows why should I get the following error message, when trying to do a simple data.frame?? DataF<-data.frame(Subject,BiomR,Spp,Capas,Litter,Herbs,LitterD,MaxCanH,DDifS p,DSSp,Slope, CanDens,NearestSp) Erro em data.frame(Subject, BiomR, Spp, Capas, Litter, Herbs, LitterD, : arguments imply differing number of rows: 202, 0 The data I am using

hi, I have a positive integer matrix like: test<-matrix(c(1,2,2,2,2,1,1,2,3),3) and based on the distant function I made like this: generateDistMat<-function (target) { n <- nrow(target) rn <- rownames(target) distM <- matrix(NA, n, n) diag(distM) <- 0 for (i in 1:(n - 1)) for (j in (i + 1):n) { distM[i, j] <- length(which(target[i, ] !=

Dear list, When I use VennDiagram package, I got a error as follow: venn.plot <- draw.pairwise.venn( area1 = 3186, area2 = 325, cross.area = 5880); Error in draw.pairwise.venn(area1 = 3186, area2 = 325, cross.area = 588) : Impossible: cross section area too large. Does anyone have suggestion? Thank you.

I'm reading Torgo (2010) *Data Mining with R*<http://www.liaad.up.pt/~ltorgo/DataMiningWithR/code.html>in preparation for a class I'll be teaching next quarter. Here's an example that is very non-functional. > pH <- c(4.5,7,7.3,8.2,6.3) > names(pH) <- c('area1','area2','mud','dam','middle') > pH area1 area2 mud dam

Dear all, I have searched the forums for an answer - and there is plenty of questions along the same line - but none of the paproaches shown worked to my problem: I have a data frame that I get from a csv: summarystats<-as.data.frame(read.csv(file=f_summary)); where I have the columns Dataset, Class, Type, Category,.. Problem1: I want to find a subset of this frame, based on values in

Hi all: Here's a question about result of loglinear analysis. There're 2 factors:area and nation.The raw data is in the attachment. I fit the saturated model of loglinear with the command: glm_sat<-glm(fre~area*nation, family=poisson, data=data_Analysis) After that,I extract the coefficients: result_sat<-summary(glm_sat) result_coe<-result_sat$coefficients I find that all the

Hi, I have a dataset with x and y coordinates and in each point I have an identity of point, in some cases I can have more then one identity by point. My dataset is something like this: > x <- rep(c(1:4),4) > y <- rep(c(1:4),c(4,4,4,4)) > area1 <- sample(factor(rep(c("a","b","c","d"),4))) > area2 <-

Given the data structure below, how can I create a bar plot for the values of disc for each area grouped by year? bar <-structure(list(year = c(2003, 2003, 2003, 2003, 2003, 2003, 2003, 2007, 2007, 2007, 2007, 2007, 2007, 2007), area = structure(c(6L, 4L, 1L, 2L, 3L, 5L, 7L, 6L, 4L, 1L, 2L, 3L, 5L, 7L), .Label = c("AK", "ID", "MT", "NW",

Hi I'm using fracdiff package to estimate the parameters of a fractionally-differenced ARIMA (p,d,q) model, and it works fine, but I wanted to have also the filtered series and the series of residuals. I understand these are calculated in the subroutine fdfilt, in the program fdcore.f, but I can't manage to get them out. Any suggestion would be much appreciated Thanks Susana Barbosa

Dear all, I am trying to merge two data frames based on a common column but for this common column both data frame do not have the same length and associated information. I checked previous exemples in the list but was not able to apply them in my case... Is someone know how to do that? Below is my code with the expected result: # data frame 1 Id1 <- c(1,1,1,2,2,2,3,3,3) Habit1 <-

Hello everybody! I'm quite new using R and i'm trying to develope a function, but i have a problem. What i want to build is something like an objects vector. I have a list with two tables, and after or next to them, I want to add more tables or vectors to that list one by one. But i cannot find how to do it! Does someone can help me? I will be very grateful for any of your help!

Hi there, This problem has been dogging me for a bit, and I'm trying to figure out why. When running the the subsets function in the leaps library, R is giving me the following error message > lvodsub <- subsets(pred, resp$LVOD) Warning message: XHAUST returned error code -999 in: leaps.exhaustive(a, really.big = really.big) but this still happens if I add the really.big option:

I am having difficulty getting the dynamic tree cut package to work. Given the data table "myddtable" LengthPlaceColorAge5HRed224ABlue205WGreen243GRed222GBlue236WGreen255ARed194H Blue23 I created a similarity matrix using DAISY and Gower metric and specified Place and Color columns as characters (since they are categorical variables) > dd.daisy<-daisy(myddtable, metric =

My data frame looks like: SightingID PA1 PA2 PlotID InOverlap Area1 2001 1 -99 392 Y 0.22 2002 1 -99 388 Y 0.253 2008 1 NA 104 N 0.344 2010 1 NA 71 N 0.185 2012 1 NA 61 N 0.166 2013 1 NA 61 N 0.227 2014 1 NA 62

Hi there, I am not getting anywhere near a solution, so here is my question. I have searched the archives and didn't find a solution, but maybe my search didn't use the right words. So here it is: I have a dataframe with the following structure factor1 factor2 value In the (rather large) dataset I have to work on, there are some factor combinations missing, e.g. factor1 <-

Dear All I would really appreciate some help with a script which a colleague wrote for me (attached), but I am having problems running (and have not been able to contact my colleague). The script is designed to compare the area of suitable habitat in binary projections of a large number of species current and future distributions, and create an excel file detailing the total area suitable in the

Dear all, my problem is following. I know Stata, but currently I have to use R. Could You please help in finding the analogy to R. (1) creating of City-Dummy. I know in Stata: g byte city=0 replace city=1 if city==12&year==2000 and (2) Create a Time-Dummy-Variable g byte T2000=0 replace T2000=1 if year==2000 (3) I need the City DUmmy for the following combination: I have the