similar to: expression exponent labeling

I do not know if this is a bug or a case of improper documentation. The documentation for formatC() implies that the difference between the options format="f" and format="g" is that with "g", scientific format is sometimes used. There is another difference between them that is not mentioned in the documentation. drop0trailing=FALSE is ignored when format is set to

Friends I am trying to format a number to a string so 2189.745 goes to "2,189.35" and 309283.929 goes to "309,283.93" I have tried to use formatC(X, big.mark=",",drop0trailing=FALSE, format="f") but it does not get the number of decimals correct. Specifying digits does not work as that is significant digits. I could use a switch statement switching on

I managed with success to export a data frame of 367 columns and 37 rows to a txt file, but unfortunately I couldn't manage the same with the transposed data frame. Specifically, it seems like the notebook cannot "read" correctly 367 columns, so it reads the first 145 columns and it folds down the rest of them and consequently it folds down the respective data.

Dear all, I would like to (i) produce boxplot graphs with axis in logarithm in base 10 and (ii) showing the values on the axis in 10^exponent format rather than 10E+exponent. To illustrate with an example, I have some widely spread data that I chart plot using boxplot() [figure on the left]; the log="y" option of boxplot() I obtained the natural logarithm conversion of the data and

Hello, I need some help with a 4D-Plot. Here is my code: Lab.palette <- colorRampPalette(c("blue","turquoise","green","yellow","orange","red","violet"),space = "Lab") par(las=3,omi=c(0.8,0.1,0.1,0.1)) filled.contour(x,log10(y),log10(z=daten),col=Lab.palette(27),zlim =

Hello, I'm using fArma package to estimate the value of Hurst exponent using R/S method. However, for a certain set of data I get H ~ 1.8. How do I interpret this? Following are the output that I get for this set: > mean(data[,2]) [1] 400.5433 > sd(data[,2]) [1] 1139.786 > > rsFit(data[,2], levels = 64) Title: Hurst Exponent from R/S Method Call: rsFit(x = data[, 2], levels

I am having difficulty with the calculation of the power law exponent for set of nodes within a graph. Specifically, I am interested in the distribution of in-degree and out-degree among communities of web pages where the web pages are the nodes of the graph and the hyperlinks the edges. According to the literature, the distribution of incoming and outgoing links obeys a power law distribution

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 there, I was wondering if anyone might be able to help me as I'm pretty new to R. I'm trying to create a boxplot from a data table returned from an sproc. I have the following code, which generates the plot as I'd like it: library("RODBC"); conn <- odbcConnect("datawarehouse"); # connect to datawarehouse results <- sqlQuery(conn, "call

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 <-

Dear all, I'm stuck with the following problem: I generate graphs using both the grid system (with lattice) and the base system. I'd like to be able to identify these graphs later on with a bit of identifying text (e.g. a date and some comments). Adding text to these graphs cannot be done using a common system if you want to save them as emf files. I now use: mtext("labelling

is it possible to map 2 plots(c and d) in a single output plot? library(ggplot2) c <- ggplot(mtcars, aes(qsec, wt)) d <- ggplot (mtcars, aes(qsec, wt)) c + stat_smooth(fill="darkgrey", colour="blue", size=2, alpha = 0.2) d + stat_smooth(fill="darkgrey", colour="red", size=2, alpha = 0.2) -- View this message in context:

Hallo I am not familiar with any of packages you use (except of MASS and ggplot2) and the code is too complicated without any hint where the error could come from and what is the message you get. I wonder if anybody would like to go through your whole code. 1. data seems to be read correctly ICUData <- read.csv(file = "ICUData.csv", stringsAsFactors = TRUE) ICUData.neuro <-

Hi, Forgive me, because I am new in R. I need a graph, where: - y axe has log scale - graph would have 4 set values: set first (out$a) has values over 5.5, set second (out$b) and third (out$c) has values over 0.005 and the last set (out$d) has values over 0.0005 of y axe. For this reason, I need have log scale on y axe. I've look for web, but I can't do the graph that I need. I try to do

Hello, I am using vegan to do an NMDS plot and I would like to suppress the labels for the loading vectors. Is this possible? Alternatively, how can I avoid overlap? Many thanks for the help. Example code: #perform NMDS using metaMDS() function spe.nmds<-metaMDS(data, distance='bray',k=2 , engine = "isoMDS", autotransform=F, trymax=1000) #calculate the loading (i.e.,

Dear all, I'm routinely using lattice and ggplot2, I wish to create a lattice theme that looks not too dissimilar to ggplot's defaults so I can include both graphs in a document with a consistent look. To illustrate my questions, consider the following example: > library(ggplot2) > library(lattice) > > # example data > x <- seq(0, 10, len = 100) > y1 <-

Hi List, I would like to plot multiple curves (parametric density curves) in one plot. For example: # parameters for three normal density curves parms = data.frame(ID=c(1,2,3),mu=c(50,55,60),sigma=c(10,12,15)) # I can easily draw three normal density curves using curve(): curve(dnorm(x,mean=parms$mu[1],sd=parms$sigma[1]),from=0, to=150, ylab="density", col="red")

The pretty picture that I saw at: http://chartsgraphs.wordpress.com/2009/02/09/r-panel-chart-beats-excel-chart/#more-1096 inspired me to try something similar. The code that I wrote is: ------snipsnip--------------------------------------------------------------------- M <- structure(list(date = structure(c(13634, 13665, 13695, 13726, 13757, 13787, 13818, 13848, 13879, 13910, 13939, 13970,

Dear R-users, i want to plot gene regulation data in a lattice barchart. To illustrate the problem i encounter, the following code uses the "barley"dataset: library(lattice) barley[["SD"]] <- 5 PLOT <- barchart(data=barley, yield~variety|site, groups=year,origin=0, as.table=TRUE, scales=list(x=list(relation="same", rot=30), y=list(alternating=3,tck=-1)),

Hello I can see several postings on this mailing-list that people have problem with mounting ext3 partition with mode data=journal. See URL's: https://www.redhat.com/archives/ext3-users/2004-March/msg00000.html https://www.redhat.com/archives/ext3-users/2004-March/msg00050.html We are going to use ext3 on a Compact Flash disk in true IDE mode. We need this filesystem to be as safe and