similar to: plotting 2 Y-axes, aligning the 0 value

Is there a place that shows how to create two plots that are stacked on top of each other where they share a common x-axis scale, but have differnt y-axis scale? Say have the following data: airquality Stack plot(airquality$Day, airquality$Wind) on top of plot(airquality$Day, airquality$Temp). I am interested in stacking the two on top of each other with no seam, or plotting the two lines with

Hi, ? I am trying to solve a problem related to Poincare circles ( for more info http://www.ms.uky.edu/~droyster/courses/spring08/math6118/Classnotes/Chapter09.pdf). In a nutshell i am trying to replicate the method in the above pdf section 9.2.1. that explains in broad terms how to draw the arc inside a circle that goes through 2 previously set points on the first circle. ? I think i came up

Hi, I have following 2 tables: Table 1: POSTAL | VALUE 1000|49 1010|100 1020|50 Table 2: INSEE | POSTAL A|1000 B|1000 C|1010 D|1020 I would like to convert this to the following: INSEE | VALUE_SPREAD A|24.5 B|24.5 C|100 D|50 I can achieve this with a nested SQL query (through counting the number of POSTAL that belong to any given INSEE, and diving the value of the postal in that INSEE by

I thought the curve function was a very flexible way to draw functions. So I could plot funtions like the following: # I created a function to produce functions, for instance: fp <- function(m,b) function(x) sin(x) + m*x + b # So I can produce a function like this ff <- fp(-0.08, 0.2) ff(1.5) # Is the same as executing sin(1.5) - 0.08*1.5 + 0.2 # Let's plot this

Dear R Gurus! I would like to generate a multi-panel plot with grouped and reference lines in each panel .. Example dataset and code are provide below. Where am I getting wrong in the code below? Any assistance will be highly appreciated. Thanks so much! -Santosh --------start dataset ------- X,l,y1,y2,y3,y4,f -99,15,0.178,0.127,0.152,0.116,a 0,0,0.218,0.12,0.174,0.145,a

Dear List, Another noob question today! I''ve been using iproute2 for a long time now to manage bandwidth and directing traffic over multiple interfaces based on source routing. I am working on a test-project at the moment, in witch I want to actually bundle (''trunk'') some connections. In the LARTC-manual I found the chapter about TEQL (see chapter 10). The situation

Hello, I am trying to fit my Elisa results (absorbance readings) to a standard curve. To create the standard curve model, I performed a 4-parameter logistic fit using the 'drc' package (ExpectedConc~Absorbance). This gave me the following: > FourP A 'drc' model. Call: drm(formula = Response ~ Expected, data = SC, fct = LL.4()) Coefficients: b:(Intercept) c:(Intercept)

Hello, I am using R, through rsruby, to create a graph and best fit line for a set of data points, regarding data collected in a Chemistry class. The problem is that although the graph functions perfectly properly, the best fit line will not work. I initially used code I pretty much copied from a website with a tutorial on this, which was: graphData.png("/code/Beer's-Law

Hi I have measured the UV absorbance (abs) of 10 solutions of a substance at known concentrations (conc) and have used a linear model to plot a calibration graph with confidence limits. I now want to predict the concentration of solutions with UV absorbance results given in the new.abs data.frame, however predict.lm only appears to work for new "conc" variables not new "abs"

Hello, I'm new here, but will try to be as specific and complete as possible. I'm trying to use “lm“ to first estimate parameter values from a set of calibration measurements, and then later to use those estimates to calculate another set of values with “predict.lm”. First I have a calibration dataset of absorbance values measured from standard solutions with known concentration of

HI I'm a student in chemical engineering, and i have to implement an algoritm about FIVE PARAMETERS INTERPOLATION for a calibration curve (dose, optical density) y = a + (c - a) /(1+ e[-b(x-m]) where x = ln(analyte dose + 1) y = the optical absorbance data a = the curves top asymptote b = the slope of the curve c = the curves bottom asymptote m = the curve X intercept Have you never seen

Shows manpage for virt-copy-in,out and virt-tar-in,out when user supplies -h as a parameter instead of listing unrelated commands with descriptions. Maros Zatko (1): virt-copy, virt-tar: show help for -h fish/virt-copy-in | 13 ++++++++++++- fish/virt-copy-out | 13 ++++++++++++- fish/virt-tar-in | 13 ++++++++++++- fish/virt-tar-out | 13 ++++++++++++- 4 files changed, 48 insertions(+),

Hi everyone, I would like to fit a predictive model to my data in order to compare absorbance readings to a toxin standard. This data was obtained by exposing red blood cells to different toxin concentrations, which lead to the lysis of the red blood cells, increasing the absorbance (hemoglobin is freed). The data has a sigmoid shape (see below), so I thought about fitting a logistic model to the

Shows manpage for virt-copy-in,out and virt-tar-in,out when user supplies -h as a parameter instead of listing unrelated commands with descriptions. Maros Zatko (1): virt-copy, virt-tar: show help for -h fish/virt-copy-in | 13 ++++++++++++- fish/virt-copy-out | 13 ++++++++++++- fish/virt-tar-in | 13 ++++++++++++- fish/virt-tar-out | 13 ++++++++++++- 4 files changed, 48 insertions(+),

Hello! I am having an issue with the OrgMassSpecR package. I run my HPLC using a DAD detector. My raw data is exported form chemstation as a csv file. I then upload the csv into Rstudio no problem. Using the DrawChromatogram function, I get a nice chromatogram, and my retention time, peak area, and apex intensity values are given as well. The problem comes with the peak area value given. The

I am having a similar problem understanding the data structure of the "yarn" dataset described in the "[R] data structure for plsr" posts. I have spectroscopic data I'd like to run through a PLSR and have read the tutorial series, but still do not understand the data format required for the code to process my data. My current data structure consists of a .csv file read into

Hi dear all, the following code is correct. but I want to use non-numeric x-axis, for example if I replace time <- seq(0,72,6) by month <- c("Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec","Pag") Ofcourse I use factor(month) instead of

Greetings: I am trying to work with spdep (everything is "brand new" downloaded this morning). OS = Windows 2000 (also up to date). The code I am using follows: #example gal.county=read.geoda("lnpilnd.GAL", row.names=NULL, skip=0) summary.nb(gal.county) Error in summary.nb(gal.county) : Not a neighbours list #end The gal file works just fine in GeoDa (also up to date).

A simple question - using the following fishers test it appears that the P value is significant, but the CI includes 1. Is this result correct? > data.50p10min <- matrix(c(16,15, 8, 24),nrow=2) > fisher.test(data.50p10min) Fisher's Exact Test for Count Data data: data.50p10min p-value = 0.03941 alternative hypothesis: true odds ratio is not equal to 1 95

Hello, Is there any plan to use the client identifier field as part of the PXE search order ? This will be helpful when using PXELINUX on Infiniband network which do not have 6 byte Ethernet MAC address. Thanks, _________________________________________________ Nir Gal | +972-9-9717685 (o) | +972-54-499-6633 (m) Manager, Customer Support Voltaire - The Grid Backbone www.voltaire.com