similar to: simple subtraction in a single vector

Here is a runable program. When I plot Day and Wgt, it graphs all the data points. All I need is daily.sub1 plotted. I also need each "Tanks" to have its own col or pch. When I run it with the line with pch, it gives me nothing. rm(list=ls()) Trial<-rep(c(1,2),each=12) Tanks=rep(c("a3","a4","c4","h4"),each=3,2) Day=rep(c(1:12),2)

OK, I need help plotting. I have column headings of Day, Wgt, Foodin, Rep, Grp and Tanks. Rep=c(1,2,3) and Tanks=c(a1,a2,a3,a4,a5,a6, c1,c2,c3,c4,c5,c6, h1,h2,h3,h4,h5,h6). I created a subset where I only would like Rep=2, and Tanks=c(a4,c4,h4) and would like to graph (points) of Wgt and Day. I would think that I only need 3 colors, but when I run with only 3, only 2 lines show up. When I add

I would like to create a point plot with the following two sets of points: #1 plot(Day,Total) and #2 (Day,cons_hat). Total is the actual value seen and cons-hat is a predicted value. If possible, I do not want to stack them as they are quite long. (FYI, I did use the reshape on a previous post, thanks, but this one is different). Day Tank Tanks Total cons_hat 1 a a4 5.651017 5.59

I have a data set with four columns and need to make boxplots from them. Data is as follows: tank Tanks Total cons_hat 1 a a4 5.651017 5.59 2 a a5 5.017499 5.29 3 a a6 4.894238 4.69 4 c c4 3.986347 3.40 5 c c5 4.099442 3.58 6 c c6 4.150522 3.64 7 h h4 5.187792 6.32 8 h h5 6.713422 6.44 9 h h6 5.168555

I have re-labeled tick marks on the x axis. The problem is that by using axes=FALSE, the axes disappears and when they are called back using axis(side=1)..etc. the axis on sides 1 and 2 do not meet at the bottom left corner of the graph. I would also like to have the 3rd and 4th axes in there as well, all meeting in their respective corners. par(mfrow=c(1,2)) gut<-c("Full",

I need a two sample t.test between M and F. The data are arranged in one column, x. Cant seem to figure how to run a two sample t.test. Not really sure what this output is giving me, but there should be no difference between M and F in the example, but summary p-value indicates this. How can I run a two sample t.test with data in one column. x=rep(c(1,2,3,4),2)

Hi all and thanks in advance. I am regressing Time and Weight, and then predicting Weight at different Time. The format of the Time data is day/month/year. How can I get R to use time series data such as this? Keith -- M. Keith Cox, Ph.D. Alaska NOAA Fisheries, National Marine Fisheries Service Auke Bay Laboratories 17109 Pt. Lena Loop Rd. Juneau, AK 99801 Keith.Cox at noaa.gov marlinkcox at

Hi, I would like to add a color under a lm line and not the plotted line. Is this possible? In the example, I do not want the area under the curve red, but rather under the llm line. x=seq(0,5,len=100) y=-(x-5)^2 llm<-lm(y~x) plot(x,y) polygon(c(x,x[length(x)]), c(y, y[1]), col='red') abline(llm) keith -- M. Keith Cox, Ph.D. Alaska NOAA Fisheries, National Marine Fisheries Service

Thank you ahead of time for help with this. I have two matrices X [,1] [,2] [,3] [,4] [,5] [,6] [1,] 660 693.00 726.0 759.00 792.0 825.00 [2,] 548 575.40 602.8 630.20 657.6 685.00 [3,] 676 709.80 743.6 777.40 811.2 845.00 [4,] 763 801.15 839.3 877.45 915.6 953.75 [5,] 768 806.40 844.8 883.20 921.6 960.00 [6,] 692 726.60 761.2 795.80 830.4 865.00 [7,] 657 689.85 722.7

Hello, hopefully simple question, but I cannot find the answer. I need to change the color from the standard default. Still want the scaled colors, but need different colors for different graphs. Code is: wireframe(z ~ y*x, mat.df, drape = TRUE, zlab = list("Water mass error (%)",rot=92), zlim=c(-50,180), xlab = list("Resistance error

I would like to calculate a first and second derivative and am having problems finding a simple solution. My syntax may be off as I am not a mathematician, so pardon ahead of time. data: t<-seq(0,4, by=.1) The function is: H(t) = t^3-6*t^2+5*t + 30 from here I plot the curve: plot(x,y ,xlab="x-values", ylab="f(x)", type="l") But would like to similarly plot the

R users, This should be simple, but I cannot figure it out. I import test.csv, then create a subset for "brook_dis". When I plot (week, R) I get a nice boxplot, but along the x axis, there are weeks a, b, c along with h and nh. Thank you ahead of time. keith rm(list=ls()) cond.exp1<-read.csv("condition/test.csv",header=TRUE) sub<-subset(cond.exp1,

I am trying to multiply a 3D array of 4x4x4 by the 4 3D arrays of a 4D array with dimensions 4x4x4x4 (the last dimension being the one that I want to split by). (4x4x4 array) > hiaAry , , a1 i1 i2 i3 i4 h1 9.5936098 6.001040 0.08772 0.3138600 h2 1.2003500 1.454570 2.79248 0.0000000 h3 0.1346500 0.201220 0.39256 0.5464000 h4 0.0109000 0.012270 0.16417 0.2766900 ,

I have long axis labels (8units) on the x axis and 2 unit number labels on the y axis. I need to move the x axis title without moving the y axis title. I have used mgp=c(title, label and line), but mgp moves both the x and y titles. The following puts the y axis title way way out to the left. Anyone know how to move just the x axis. X11() conif<-c("Control", "Switched

This data are kilojoules of energy that are consumed in starving fish over a time period (Days). The KJ reach a lower asymptote and level off and I would like to use a non-linear plot to show this leveling off. The data are noisy and the sample sizes not the largest. I have tried selfstarting weibull curves and tried the following, both end with errors. Days<-c(12, 12, 12, 12, 22, 22, 22,

Hello R guru's I am a newbie to R, In my research work I usually generate a lot of ELISA data in form of absorbance values. I ususally use Excel to calculate the concentrations of unknown, but it is too tedious and manual especially when I have 100's of files to process. I would appreciate some help in creating a R script to do this with minimal manual input. s A1-G1 and A2-G2 are

Hello I have a data set like below: plate.id well.id Group HYB rlt1 1 P1 A1 Control SKOV3hyb 0.190 2 P1 A2 Control SKOV3hyb 0.210 3 P1 A3 Control SKOV3hyb 0.205 4 P1 A4 Control SKOV3hyb 0.206 5 P1 A5 Control SKOV3hyb 0.184 385 P1 A1 ovca SKOV3hyb 0.184 386 P1 A2 ovca SKOV3hyb 0.229 387

Dear R Users, close to the end of this I used wireframe to create a 3D plot from a matrix. The x and y axis tick labels (1-6) for each were created from the matrix being a 6X6 matrix. I need the axis tick labels to be the row and column headings which you can see in the output (mat.x). I have tried several work arounds, but they have not been successful. Thanks in advance. keith rm(list=ls())

I have a dataset that is basically structureless. Its dimension varies from row to row and sep(s) are a mixture of tab and semi colon (;) and example is HEADER1 HEADER2 HEADER3 HEADER3 A1 B1 C1 X11;X12;X13 A2 B2 C2 X21;X22;X23;X24;X25 A3 B3 C3 A4 B4 C4 X41;X42;X43 A5 B5 C5 X51 etc., say. Note that a blank

Buenas, Tengo dos data.frames de la siguiente manera library(data.table) id<-c("a1","a2","a3","a4") id2<-c("a2","a3","a1","a4") y<-c(1,2,3,4) z<-c(3,5,6,7) k<-c(1,3,8,7) df1<-data.table(id,y,z) id<-c("a2","a3","a1","a4") df2<-data.table(id,x,y) Quiero