similar to: Changing axis origin for plot

Hi all, Can anyone tell me how I can make 0,0 start at the top left hand corner of a graph, instead of the typical lower left hand corner? I've tried to plot with axes=F and then putting on the axes later, but I want the points to correspond to the axes. Thanks, Kang Min

I am trying to draw a polar plot, which is easy enough to do in the plotrix package through the polar.plot function. However I would like to change the origin of the length vector. For instance all my length values are between 75 and 85, so instead of having the origin as 0 (the default) I'd like it to be, say, 50. Is there any way do to this in the polar.plot function, or if not is there an

Hi Greg, What you are getting there is a factor, interpreted as a 1:n sequence based on the sort order of your "dates". Here's a way to get dates on your x-axis in the format you want: x_yyyymmdd<-as.Date(c("2018-04-25","2018-04-26","2018-04-27",

Jim, Thanks for responding! I am using the official R 3.5.0 for Mac OS X. This apparently does not include library (plotrix) library(plotrix) Error in library(plotrix) : there is no package called ?plotrix? Greg > On May 5, 2018, at 6:50 PM, Jim Lemon <drjimlemon at gmail.com> wrote: > > Hi Greg, > What you are getting there is a factor, interpreted as a 1:n sequence >

Hi, In the plot function I want to label x axis as the numbers between 1 and 12 (so 1, 2, 3, 4, 5, ..., 12). How should I do it? The range of x values are different than this range. Thanks! Kind regards, T. Bal [[alternative HTML version deleted]]

Dear list, My query follows on from a question I posted a few days ago. I have the following 2 sets of data: wetMeans[1] 9.904762[2] 6.344828[3] 6.346154[4] 6.855769[5] 9.074324[6] 9.953988[7] 13.482966[8] 14.546053[9] 10.841584[10] 9.752033[11] 6.739336[12] 8.955056burnMeans[1] 0.06214286[2] 0.05396552[3] 0.04096154[4] 0.05302885[5] 0.05831081[6] 0.07392638[7] 0.29969940[8] 0.25596217[9]

Hi, in order to save space for a publication, it would be nice to have a combined scatter and density plot similar to what is shows on http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=78 I wonder if anybody perhaps has already developed code for this and is willing to share. This is the reproducible code for the histogram version obtained from the site: def.par <-

Hi, I have a data set with two continous variables that I want to plot MEANS (I am not intrerested in median values) on a double-y graph. I also have 2 factors. I want the factor combinations plotted in different panes. Dummy dataset: mydata <- data.frame(factor1 = factor(rep(LETTERS[1:3], each = 40)), factor2 = factor(rep(c(1:4), each = 10)), y1 =

I am using R 3.5.0 for Mac OS X. Issuing these two commands yields the expected plot. y_duration <- c (301.59050, 387.35700, 365.64366, 317.26150, 321.71883, 342.44950, 318.95350, 322.33233, 330.60333, 428.99516, 297.82066) plot (y_duration, type="l?) Adding Year-Month-Day values for the x axis, and then calling plot (x,y), yields a bizarre plot. Apparently, R does not

Hi all, I am trying to plot a bar chart and trying to plot a line as a secondary axis as my scale is different for two y axis. I am plotting a clustered bar chart by using besides = True option in barplot function and my y coordinates are not plotted exactly at the center on each two bars. Please help me. I am pasting the code as follows. x =

Hello R users, I have a plot type=b with x axis at=(1:36), I would like to increase the distance between x tick-marks 8 and 9, and not connect the points x=8 and x=9. I can do the second thing, setting type="p" and then drawing the lines, but I don't know how to do the first. Plus, I was wondering if there was a function that allows to insert a gap without covering data point

R plotting experts: I have a bivariate dataset composed of 300 (x,y) continuous datapoints. 297 of these points are located within the y range of [0,10], while 2 are located at 20 and one at 55. No coding errors, real outliers. When plotting these data with a scatterplot, I obviously have a problem. If I plot the full dataset with ylim = c(0,55), then I cannot see the structure in the data in

Hello All, Many thanks to the help I have received so far. Here is an example data set I hope to plot Data1 Year Data SE 1 2005 2 0.01 2 2006 4 0.01 3 2007 5 0.01 4 2008 2 0.01 5 2009 3 0.01 6 2010 6 0.01 Data2 Year Data SE 1 2006 32 1 2 2007 100 2 3 2008 60 4 4 2009 67 3 5 2010 8 1 Notice Data2 has one less years worth of data than Data1 (which is my

Hello, I'm new to R, I've been working with it for the last 2 weeks. I am plotting some data and not getting the labels on the x axis I am expecting on my plot. my code reads #hours in the day h <- c(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23) #hp is a data frame with a pivot table of 25 columns (label and data for 24 hours) plot(h, as.matrix(hp[1,2:25]),

Hello all. I have the following: plot(salaries$yearID, salaries$salary, type='n', xaxt='n', xlab='', yaxt='n', ylab='') axis(1, at=unique(salaries$yearID), labels=unique(salaries$yearID), lwd=.25, tck=-0.05) axis(2, axTicks(2), format(axTicks(2), scientific = F)) Which nicely creates the Y axis with the raw numbers, which are in the range of .5 - 7

My x axis is a series of daily dates (e.g., 01/01/2000, 01/02/2000, etc.) from 2000 to end of 2008. The default only gives me 4 ticks. I want more. Why doesn't this work? sdate<-as.POSIXct(strptime(date,format="%m/%d/%Y")) plot(ppt~sdate,type="l",ylim=c(0,47),col=1,lwd=1,pch=16,ylab="Salinity, psu",xlab="Year",las=1,main="Duck Key

Dear all, I am plotting daily data from 1950 to 2000 and I wish to have the time in X-axis to indicate years and NOT days (i.e 1950 1951,......,2000 instead of 1,2, 3, ......). How do I set the x-axis to show years instead of days. ZABLONE OWITI GRADUATE STUDENT Nanjing University of Information, Science and Technology College of International Education Add: 219 Ning Liu Rd, Nanjing,

Helo Greg - I got it with help of your code and I would like to add the value into the boxplot chart. How to do that. y_duration <- c (16.438, 15.321, 12.700, 12.397, 10.795, 9.928, 10.386) On May 09, 2018, at 10:06 AM, Jayaganesh Anbuganapathy <jai6561 at icloud.com> wrote: Actually I would like to get an output on the below snapshot. I have tried various method like points,

Hi how do I make my axes cross at the origin? x <- seq(from=-pi,to=pi,len=30) plot(x,sin(x)) makes the axes cross at about (-pi,-1). How do I get my x and y axes to cross in the centre of the graph, with the sine curve passing through the intersection? I couldn't find anything in ?par or ?axis; searching R-FAQ for "axis" didn't help. -- Robin Hankin Uncertainty

Hi, I want to plot grouped bars to compare 95% confidence interval estimates from two models. Each bar represents a 95% confidence interval estimate of a coefficient from one of the two models. Each group represents confidence interval estimates of the same coefficient from the two models. I think such a bar plot will nicely present whether 95% confidence interval estimates of the same