similar to: data manipulation

Displaying 6 results from an estimated 6 matches similar to: "data manipulation"

2009 Dec 07
1
anova/factor
Dear Wiza[R]ds, I have the following data in a data.frame. I need to do an anova with multiple comparison but I don't know how to factor the groups for analysis. There are 3 groups, 1,2 and 3 labelled in column 1. Help appreciated with thanks in advance. Group SI Sif SG Io I2 lol2 1 9.08e-05 9.08e+00 0.060842287 1.798556446 32.574500
2009 Nov 28
1
Plot fitted vs observed values
Dear Wiza[R]ds, # I have the following experimentally observed data: csdata <- data.frame( time=c(0,1,3,9,20), conc=c(638.697,395.69,199.00,141.58,112.16) ) # weighting resp means response wt.MM<- function(resp, time,A1,a1,A2,a2) { pred <- A1*exp(-a1*time)+A2*exp(-a2*time) (resp - pred) / sqrt(pred) } # Fit using nls cs.wt <- nls( ~ wt.MM(conc, time,A1,a1,A2,a2),
2009 Nov 29
1
Plotting observed vs. fitted values
Dear Wiza[R]ds, I am very grateful to Duncan Murdoch for his assistance with this problem. His help was invaluable. However, the problem has become a little more complicated for me. Now, in each plot, I need to plot the observed and fitted values of a supine and upright posture experiment. Here is what I have and how far I got. # tritiated (3H)-Norepinephrine(NE) disappearance from plasma #
2009 Nov 18
4
Switch Help
Dear Rexperts, Given, aar <-function(command) { switch(command, {scrn = cat("scrn :Screening","\n")} {dx = cat("dx :Diagnosis","\n")} {df = cat("df :Don't Forget","\n")} ) } I want to be able to do: aar("dx") # function does cat("dx :Diagnosis","\n")
2009 Nov 29
3
Plotting observed vs. Predicted values, change of symbols
Dear Wiz[R]ds, I am deeply grateful for the help from Duncan Murdoch, Gray Calhoun, and others. We are almost there. For whatever reason, I can't change the symbol from a circle to a triangle in the upright posture plots. Any ideas? I have included the problem in full. # tritiated (3H)-Norepinephrine(NE) disappearance from plasma # concentrations supine and upright # supine datasu <-
2010 Jan 06
1
boxplot help
Dear Rexperts, I am trying to add a '+' identifying the mean in a boxplot using the following sizelist <- split(size, grp) centers <- boxplot(sizelist, style.bxp = "att", medpch = "o", ylab = "Prostate Volume (cm3)") points(centers, unlist(lapply(sizelist, mean)), pch = "+") But, I get error Error in xy.coords(x, y) :