compareMean | R Documentation |
Compare the mean recovery curves between two data sets.
compareMean(
data1,
data2,
fit,
type = "RCB",
area = T,
stand = T,
simulated = F,
Nsim = 50,
seed = NA,
saveable = !is.na(seed),
conf.level = 0.95,
alternative = "two.sided",
return = F,
p.value = T,
npoints = 100,
new.plot = T,
plot.lines = T,
plot.points = F,
col = NULL,
...
)
data1 |
The first data set, of class |
data2 |
The second data set, of class |
fit |
An optional fit object obtained from the |
type |
A vector or list of recovery curve types. Default is "RCB". |
area |
A vector or list indicating whether to use area normalization. Default is TRUE. |
stand |
A vector or list indicating whether to apply standardization. Default is TRUE. |
simulated |
A vector or list indicating whether to perform simulations. Default is FALSE. |
Nsim |
A vector or list specifying the number of simulations to perform. Default is 50. |
seed |
A vector or list specifying the seed for the random number generator. Default is NA (no seed). |
saveable |
A vector or list indicating whether to save the simulation results. Default is TRUE if seed is provided, otherwise FALSE. |
conf.level |
Confidence level for hypothesis testing. Default is 0.95. |
alternative |
The alternative hypothesis for hypothesis testing. Default is "two.sided". |
return |
Boolean indicating whether to return the test results. Default is FALSE. |
p.value |
Boolean indicating whether to plot the p-value. Default is TRUE. |
npoints |
Number of points to use for generating the comparison plot. Default is 100. |
new.plot |
Boolean indicating whether to create a new plot. Default is TRUE. |
plot.lines |
Boolean indicating whether to plot the comparison as lines. Default is TRUE. |
plot.points |
Boolean indicating whether to plot the comparison as points. Default is FALSE. |
col |
Colors to use for the plot. If NULL, colors are automatically assigned. |
... |
Additional plot parameters. |
If return
is TRUE, returns the test results. Otherwise, generates the comparison plot.
# Compare the mean recovery curves between two data sets
compareMean(data1, data2, fit = myFit)
# Compare the mean recovery curves and return the test results
result <- compareMean(data1, data2, fit = myFit, return = TRUE)
print(result)
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