similar to: boxplot of multi box color

Hello, I am making a boxplot of 13 boxes. I tried to color the box using 13 colors but failed. Only red and brown were displayed. Green, blue, and grey disappeared. Please kindly advise modification after checking the code below. Thank you in advance. Elaine R code # data input dataN <-read.csv("H:/a_mig_distance_B_NB/R_data/Mig_bird_586_20120925.csv",header=T, row.names=1)

Hello This is Elaine. I am using package lattice to generate boxplots. Using Richard's code, the display was almost perfect except the outlier shape. Based on the following code, the outliers are vertical lines. However, I want the outliers to be empty circles. Please kindly help how to modify the code to change the outlier shapes. Thank you. code package (lattice) dataN <-

Hello I ran the code below but it said: no object "'panel.xyplot.intermediate.hh'" Please kindly advise how to modify the code. thank you. (It works with panel.bwplot.intermediate.hh) Elaine code library(HH) # data input dataN <-read.csv("H:/R_data/Mig_bird_586.csv",header=T, row.names=1) dim(dataN) dataN[1,] str(dataN) diet.code <-

Hello I want to draw a xyplot. Its dots will have three colors: red for meat, green for vegetable, and blue for both. I used the code below but could not make the dot in the same group show the same color. Please kindly advise how to modify it. Thank you. code library (lattice) diet.code <- c("Herbivore", "Omnivore", "Carnivore") Diet.colors <-

Hello I have a data composing three columns: body weight, body length, and sex. I want to draw a box plot, X-axis for body weight, Y-axis for body length. In the boxplot, I want to compare the body length between two sexes of three groups of body weight: <50, 51-100, >101 kg. (For instance, from left to right, the first boxplot: sex =1, body weight <50 the second boxplot: sex

Hello, I want to know if two quadratic regressions are significantly different. I was advised to make the test using step 1 bootstrapping both quadratic regressions and get their slope coefficients. (Let's call the slope coefficient *â*^1 and *â*^2) step 2 use the slope difference *â*^1-*â*^2 and bootstrap the slope coefficent step 3 find out the sampling distribution above and

Hello I want to draw a plot using the code below. Further, I want to add labels (White, Yellow, Red) to x-axis. Please kindly advise how to add the categorical labels, by modifying the code. Thank you. Elaine Code dataN <-read.csv("H:/skin_color.csv",header=T, row.names=1) dim(dataN) dataN[1,] str(dataN) obs.group<-dataN$skin_color

Hello, I am using lattice to produce xyplot. I want to change the font size of axis-X label. Please kindly advise how to write the code. Thank you. For changing the font size of axis-X title it would be xlab=list("Diet of Breeding Ground", cex = 1.4) Elaine [[alternative HTML version deleted]]

Hello I am using lattice bwplot to draw migration distance of three groups of birds. The boxplots from the left to right is displayed in alphabetic order of the boxplot names, as the default setting. However, I would like the boxplots from the left to right to be displayed according to the migration distance from the short values to the long ones. In the data below, from the left to the

Dear, I am a newbie to R. Now I am learning to draw boxplot using graphics(). I want to highlight the median position with a round point and the value left (or on the top of)to the point. Please kindly share the command and thank you. Elaine [[alternative HTML version deleted]]

Can somebody please take a look at this and tell me whats going wrong? It seems to be parsing wronly around the 'if' statement and gives me a directory listing. Thanks in advance Tom N.B. datan is an invented dataset xvals<-c(1,0.4,0.2) datan<-data.frame(s1=c(3,4,5),s2=c(5,5,5),s3=c(21,55,34),s4=c(5,3,2)) datan$sint<-NA datan$sgrad<-NA for(icount in 1:dim(datan)[1]) {

Hello, I have weight and wing length data of 5 kinds of birds (B1 to B5). Weight data (predictor) and wing data (response) were used to generated a simple regression. (using lm) Now some weight data are found but without wing data (B6, B7). I want to use the generated simple regression to produce wing data of B6 and B7 by their weight data. Please kindly advise R code to carry it out. Thank you.

Dear list, I have 603 numbers depicting range sizes of birds in Japan. I would like to learn if the 603 range sizes are randomly distributed or not, in order to check if they meet mid-domain effects. Please kindly advise if any R package or function can check the fit. Also, any more references are highly appreciated. Thank you Elaine [[alternative HTML version deleted]]

Dear, I am a newbie to R. Now I am learning to draw boxplot using graphics(). I want to change the vertical line penetrating the box from dashed line to solid line Please kindly share the command and thank you. Elaine [[alternative HTML version deleted]]

Dear list, I am plotting dots using distinct colors according to the species. Like the style of topo.colors(18), please kindly advise if any color vector exists for green, red, and blue. Thank you Elaine [[alternative HTML version deleted]]

Dear List, I want to compare the presence and absence of bird species based on the sites in a matrix. The matrix has 5 rows for Island A, B, C, D, and E. It has 100 columns for bird species D001-D100. In each cell of the matrix, the presence-absence of bird species will be recorded as 1 or 0. (For example, if species D001 is found on Island D, the matrix cell of species D001 and Island D

Otras variantes con y sin paquetes adicionales... > sapply(split(datIn$Gain, as.factor(datIn$Diet)), mean) d1 d2 d3 280 278 312 > by(datIn$Gain, datIn$Diet, mean) datIn$Diet: d1 [1] 280 -------------------------------------------------------------- datIn$Diet: d2 [1] 278 -------------------------------------------------------------- datIn$Diet: d3 [1] 312 > > library(dplyr) >

Hi, I'm having difficulty with getting a table to show with multiple rows and columns. Below is the commands that I've typed in and errors that I am getting. Thank you. Laura Table trying to enter: Diet: Binger-yes: Binger-No: Total: None 24 134 158 Healthy 9 52 61 Unhealthy 23 72 95 Dangerous 12 15 27 >

Me gusta la respuesta uqe has dado, pero si por ejemplo, alguno de los datos tiene datos faltantes, entonces devuelve NA. He probado con: sapply(split(datos$uno, as.factor(datos$dos)), mean(na.rm=TRUE)) pero da fallo. ¿Cómo se podría hacer para que devolviera además la media obviando los NA y que contara el numero de NA por categoria? > Date: Wed, 28 Oct 2015 00:13:45 +0100 > From: cof

HI Dave, My comment was based? on: " >The main question with this test was if the interaction term is significant (i.e. growth rate). However, my question is could I also look at the p-values of the main effects to ?>say if body mass increase significant with body mass?" Here, the result shown were from the summary of the linear model.?? We report the p-values of the main