## S3 method for class 'numeric':
mean_sd(x, na.rm=TRUE, ...)## S3 method for class 'matrix':
mean_sd(x, na.rm=TRUE, ...)
## S3 method for class 'hyperSpec':
mean_sd(x, na.rm=TRUE, ..., short="mean_sd", user=NULL, date=NULL)
## S3 method for class 'numeric':
mean_pm_sd(x, na.rm=TRUE, ...)
## S3 method for class 'matrix':
mean_pm_sd(x, na.rm=TRUE, ...)
## S3 method for class 'hyperSpec':
mean_pm_sd(x, na.rm=TRUE, ..., short="mean_sd", user=NULL, date=NULL)
## S3 method for class 'hyperSpec':
mean(x, na.rm=TRUE, ..., short="mean", user=NULL, date=NULL)
## S3 method for class 'hyperSpec':
quantile(x, probs=seq(0, 1, 0.25), na.rm=TRUE, names="num", ...,
short="quantile", user=NULL, date=NULL)
logentry.quantile"pretty" results in percentages (like quantile's
names = TRUE), "num" results in the row names being as.character (probs)
(good for ggplot2 getting mean_sd,numeric-method: mean_sd returns a vector with two values (mean and standard
deviation) of x.mean_sd,matrix-method: mean_sd (matrix) returns a matrix with the mean spectrum in the first row and the standard deviation in the 2nd.
mean_sd,hyperSpec-method: mean_sd returns a hyperSpec object with the mean spectrum in the first row and the standard deviation in the 2nd.
mean_pm_sd,numeric-method: mean_pm_sd returns a vector with 3 values: mean - 1 sd, mean, mean + 1 sd
mean_pm_sd,matrix-method: mean_pm_sd (matrix) returns a matrix containing mean - sd, mean, and mean + sd
rows.
mean_pm_sd,hyperSpec-method: For hyperSpec objects, mean_pm_sd returns a hyperSpec object containing mean - sd,
mean, and mean + sd spectra.
mean,hyperSpec-method: For hyperSpec object, mean returns a hyperSpec object containing the mean
spectrum.
quantile,hyperSpec-method: For hyperSpec object, quantile returns a hyperSpec object containing the
respective quantile spectra.
mean_sd,numeric-method: These functions are provided for convenience.mean, sdmean, sdquantilemean_sd (flu [,, 405 ~ 410])
mean_sd (flu$spc)
mean_sd (flu)
mean_pm_sd (flu$c)
mean_pm_sd (flu$spc)
mean_pm_sd (flu)
plot (mean (chondro))
plot (quantile (chondro))Run the code above in your browser using DataLab