similar to: add error bars in a plot

Dear all, I am ploting two boxplot of two chemical variables using the format boxplot(Alkalinity, logAlkalinity, log="y", col=c("lightblue"), lwd=0.6, boxwex=0.3) However when I plot like this, the distance between the two boxplots is very big and as well the distance of each boxplot from the plot area, left and right. How can I minimise that distance between the boxplots and

Hello, I am trying to graph a regression line using the followings: Age <- c(39, 47, 45, 47, 65, 46, 67, 42, 67, 56, 64, 56, 59, 34, 42, 48, 45, 17, 20, 19, 36, 50, 39, 21, 44, 53, 63, 29, 25, 69) BloodPressure <- c(144, 220, 138, 145, 162, 142, 170, 124, 158, 154, 162, 150, 140, 110, 128, 130, 135, 114, 116, 124, 136, 142, 120, 120, 160, 158, 144, 130, 125, 175) SimpleLinearReg1=lm(Age ~

Hi, Anne, assign Age and Bloodpressure in the correct order to the axes in your call to plot as in: plot(y = Age, x = BloodPressure) abline(SimpleLinearReg1) Hth -- Gerrit --------------------------------------------------------------------- Dr. Gerrit Eichner Mathematical Institute, Room 212 gerrit.eichner at math.uni-giessen.de Justus-Liebig-University Giessen Tel:

Hi folks, Pls help me to understand follow; An Introduction to R 2.4 Logical vectors http://cran.r-project.org/doc/manuals/R-intro.html#R-and-statistics 1) > x [1] 1 2 3 4 5 > temp <- x != 1 > temp [1] FALSE TRUE TRUE TRUE TRUE > 2) > x [1] 1 2 3 4 5 > temp <- x > 1 > temp [1] FALSE TRUE TRUE TRUE TRUE Why NOT > temp [1] TRUE FALSE FALSE FALSE

Hi folks, Pls help me to understand follow; An Introduction to R 2.4 Logical vectors http://cran.r-project.org/doc/manuals/R-intro.html#R-and-statistics 1) > x [1] 1 2 3 4 5 > temp <- x != 1 > temp [1] FALSE TRUE TRUE TRUE TRUE > 2) > x [1] 1 2 3 4 5 > temp <- x > 1 > temp [1] FALSE TRUE TRUE TRUE TRUE Why NOT > temp [1] TRUE FALSE FALSE FALSE

Dear Gerrit, This issue is discussed in a vignette in the car package (both for functions in the car and effects packages): vignette("embedding", package="car") . The solution suggested there is the essentially the one that you used. I hope this helps, John ----------------------------- John Fox, Professor Emeritus McMaster University Hamilton, Ontario, Canada Web:

Hi, again, I have to modify my query since my first (too simple) example doesn't reflect my actual problem. Second try: When asking Effect() inside a function to compute an effect of an lmer-fit which uses a data frame local to the body of the function, as in the following example (simplifying my actual application), I get the "Error in is.data.frame(data) : object 'X' not

Dear R helpers   I have two series A and B as given below -   A <- c(2, 2, 1, 3, 7, 3, 3, 1, 14, 7, 31) B <- c(0.0728,0.9538,4.0140,0.0020,2.5593,0.1620,2.513,0.3798, .0033,0.2282, 0.1614)   I need to calculate the total in dataset B corresponding to the numbers in dataset A i.e. for no 1 in A, I need the total as 4.0140+0.3798 (as 1 is repeated twice) for no 2, I need the total as

Dear all, I would like to use cut() to make numerics to factors, the sample codes are as follows. However, the result is not what I want, since r[3] =?9 should be in the interval of "8-10%" rather than "2-4%". Maybe cut() is not the right function to use for my situation. Please help. > r <- c(1,1,9,1,1,1) > col_no <-

Hello, everyody, when asking, e.g., Effect() to compute the effects of a fitted, e.g., linear model after having deleted the data frame from the workspace for which the model was obtained an error is reported: > myair <- airquality > fm <- lm(Ozone ~ Temp, data = myair) > rm(myair) > Effect("Temp", fm) Error in eval(model$call$data, envir) : object 'myair'

Dear R-help, I am trying to express myself as best as I can here. If you also use Latex to edit math reports or other languages with similar editing method, you'll see what I'm talking about. My sincere appologies if my question is not clear enough to some extend, as also I'm not able to provide my code here because I don`t know which one I can use... When editing the title in R

Dear all, I want to make a plot where I can specify the range of y axis. I am using the interaction.plot command and because the values of y axis are from 2 to 500, I am using a logarithmic scale. >interaction.plot(speclong$Date,speclong$time2,speclong$outcome,xaxt="n",type="l",pch=20,xlab="", log="y", ylab="Concentration

Dear Gerrit Thanks a lot. "rbind" seems to be the right function. Unfortunately there is a shift in the x-axis (see pdf). There are 52 trapcatch values each, m and w, but m$trapcatch and w$trapcatch are shifted up to x-value 60. The follow-up lines for temp and humidity are fine. Thanks Sibylle setwd("~/Desktop/DatenLogger2017") # am Mac sks trap =

Hello, R-help, does anybody have already a work-around for the problem that the formula version of sunflowerplot() throws an error when provided with a value for xlab (or ylab) different from NULL: > sunflowerplot( Sepal.Length ~ Sepal.Width, data = iris, xlab = "A") Error in model.frame.default(formula = Sepal.Length ~ Sepal.Width, data = iris, : variable lengths differ

Dear all, I want to do some time plots and actually the dates are in the format of dd/mm/yyyy. So first I input my dataframe in R in a csv form. What I do is DF<-read.csv("C:/Documents and Settings/DF.csv") DATE<-as.Date(DATE, "%d/%m/%Y") # to tell R that DATE column is indeed dates with(DF, plot(DATE,pH)) Until here it works fine, but I have the graph plotting

Dear all, I work with R Version 2.0.0 on Machine hardware: sun4u OS version: 5.9 Processor type: sparc Hardware: SUNW,Sun-Blade-1000 and I have a very simple data frame (called OR) with the following variables: > sapply( OR, class) X ci FTyp "factor" "numeric" "factor" (In OR$ci there are some Inf-values. OR's

I am trying to add 2 stdev error bars to lattice type plots: panel.ebar<-function(x,y,dy=NULL,...) { panel.xyplot(x,y,...) panel.segments(x,y-dy,x,y+dy,...) } Then: xyplot(y~x|fc,data=dat,dy=dat$dy,panel=panel.ebar) This adds error bars but they are not conditioned on the factor fc. xyplot(y+I(y-dy)+I(y+dy)~x|fc,data=dat) This produces 3 series of points in different colors, conditioned

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

Dear R users aim Barplot of insect trap catches (y variable trapcatch) at one specific station (variable FiBL_Hecke) from week 1-52 ( x variable week). It works well using the function tapply (sum trapcatch per week, males and females not separated), however, I intend to separate the y variable trapcatch in males and females (variable m_w: m and w) problem I used the function "add" to

Hi, Sibylle, since you write '"mathematically" add', does barplot(rbind(m$trapcatch, w$trapcatch)) do what you want (modulo layout details)? Hth -- Gerrit --------------------------------------------------------------------- Dr. Gerrit Eichner Mathematical Institute, Room 212 gerrit.eichner at math.uni-giessen.de Justus-Liebig-University Giessen Tel: