similar to: ggplot2 geom_hline error

Hi All, I'm still actively researching this problem (reading R-ext manual), but I hoped that I might be able to get some additional insight from the list given that I'm fairly new at writing R extension code. Problem: I have some fairly simple code (.Call interface) that makes a call to another shared library, which, in turn, calls routines in an HDF5 shared library. The good news

Hi I have a long data set on which I want to do Bland-Altman style plots for each rhythm type Using ggplot2, when I use geom_hline with facet_grid I get an extra set of empty panels. I can't get it to do it with the "Diamonds" data supplied with the package so here is a (much abbreviated) example: > lvexs cvd_basestudy ecd_rhythm fixed_time variable_time 1 CBP05J02

Hi all: I am trying to draw a horizontal line along the zero "Y axis" value but since zero isn't showing therefore the line is not drawn. If I set my intercept to 15 then it'll work but I dont want to hardcode it because the Y axis parameters could be different for another variable. I would like to alway set my hline along the zero as default. Thanks p <- ggplot(mtcars, aes(x

Hello i am new to ggplot and i observed a strange behavior. I want to display two groups of points, each group with a different color. But i encountered a problem with the colors. Here is a first example: dataset <- data.frame(Main = c("A", "A", "B", "B"), Detail = c( "b", "c", "1", "2"), resp = runif(4, min

Hello, I'm using geom_hline to add a minimum line to my plot (representing the best solution found so far by a search algorithm). I'd like to annotate this line with it's numerical value to save trying to read it off the graph, but I can't see a clear way to do this - any ideas? (Alternatively, if this is against the spirit of the grammar of graphics, is there a better

Hello, I'm trying to plot a graph of blood glucose versus date. I also record conditions, such as missing the previous night's medications, and missing exercise on the previous day. My data looks like: > b2[68:74,] # A tibble: 7 ? 5 Date Time bg missed_meds no_exercise <date> <time> <dbl> <lgl> <lgl> 1 2023-10-17 08:50

Dear R-users, I want to plot residuals vs fitted for multiple groups with ggplot2. I try this code, but unsuccessful. library("plyr") models<-dlply(dat1,"d",function(df) mod<-lm(y~x,data=df) ggplot(models,aes(.fitted,.resid), color=factor(d))+ geom_hline(yintercept=0,col="white",size=2)+ geom_point()+ geom_smooth(se=F) -- --- Catalin-Constantin ROIBU

Dear all, I produced the following graph with ggplot which is almost fine, yet I don't like that the legend for "Means" and "Observations" includes a line, though no line is used in the plot for those two (the line for "Overall Mean" on the other hand is wanted): library(ggplot2) ddf <- data.frame(x = factor(rep(LETTERS[1:2], 5)), y = rnorm(10)) p <-

Hello, I want to arrage the label according to my preference eg.. (va, vp, a, b, c) but don't know how to supress default ordering. Any suggestions? Please try the code below: n <- c("va", "vp", "a", "b", "c") p <- c(2, 2,1, 3,5) pm<- c(3,4,2,5,4) pn <- c(1,1,1,2,3) x<-data.frame(cbind(n,p,pm,pn)) library(ggplot2) qplot(x=n,

I just updated to R 2.14 with ggplot2 0.9 and am finding bugs. > ggplot2 "GPL-2" "2.14.0" This example is taken from pg 101 in the ggplot book. > plot <- qplot(date, psavert, data = economics, geom = "line") + > ylab("Personal savings rate") + geom_hline(xintercept = 0, colour = > "grey50")' > plot +

Hello everyone, I have a plot showing chloride concentrations for various point over time. I also have a dotted line that show the Secondary Maximum Contaminant Level (my screening limit) on the graphs at 250 mg/L. But I can not figure out how to include the dotted line / Secondary Maximum Contaminant Level in the legend. Any thoughts? My code is as following and is linked to my data on the

Hi, I am newbie user of ggplot and would like some assistance in implementing time series plots. I'd like to know how the tsdiag plot can be made in ggplot? Thanks Harsh Singhal Decisions Systems, Mu Sigma Inc.

Hola a tod en s, bueno, un poco al hilo de un mensaje anterior, reformulo la pregunta y pongo código completamente reproducible, a ver si hay más suerte. Estoy con un informe y hay que hacer algunos gráficos con datos diferentes con ggplot2, y hay que poner el mismo tamaño para todos ellos. El problema es que R cambia automáticamente el tamaño del área de trazado y el margen en función de

Don't carry around Augeas lenses. It is fragile, since if the lens is added to upstream Augeas but the version number has not changed, then Augeas won't parse the target file at all. This specifically causes password adjustments to fail in RHEL 7.1. In future, if we need an Augeas lens, it must be added to Augeas, either upstream or as a downstream patch carried around by distros. ---

Dear R Users: I have the individual mortality rate and 95% CI of 100 hospitals, how to do the plot with the individual hospital in the Yaxis, and the mortality rate and 95% CI in the Xais and a overall mean as a reference line? Thanks and regards, Xin [[alternative HTML version deleted]]

Add a directory to contain required augeas lenses which aren't yet upstream. Include a new lens for grub's device.map. --- augeas/README.txt | 4 ++++ augeas/device_map.aug | 28 ++++++++++++++++++++++++++++ 2 files changed, 32 insertions(+), 0 deletions(-) create mode 100644 augeas/README.txt create mode 100644 augeas/device_map.aug diff --git a/augeas/README.txt

Hi, Dummy data script and scripts are attached below. I would like to change the plot to look like this:

Hi all, I''m trying to come up with a lens for the zabbix agent config files. I find the lens language untransparent at best, so I''m struggeling to figure out what''s up. The debugging possibilities are extremely limited. Here''s what I have now: zabbix.aug: ==== (** An adjusted copy of the postfix_main module **) module Zabbix_agent = autoload xfm

I've been looking for an IACF() procedure in R for a long time (it's a very convenient function to check for overdifferencing time series), and eventually decided to write my own function. Here's what I came up with : 3 web-pages helped me estimate it : http://www.xycoon.com/inverse_autocorrelations.htm

Hi! Thanks for taking the time to read this. The code below creates a graph that takes 100 samples that are between 5% and 15% of the population (400). What I'd like to do, however, is add two other sections to the graph. It would look something like this: from 1-100 samples take 100 samples that are between 5% and 15% of the population (400). From 101-200 take 100 samples that are between