as.data.frame | R Documentation |
as.data.frame
returns x@data
(as data.frame) as.matrix
returns the spectra matrix x@data$spc
as matrixThe data.frame returned by as.long.df
is guaranteed to have columns
spc
and .wavelength
. If nwl (x) == 0
these columns
will be NA
.
## S3 method for class 'hyperSpec'
as.data.frame(x, row.names = TRUE, optional = NULL, ...)
## S3 method for class 'hyperSpec'
as.matrix(x, ...)
as.wide.df(x, wl.prefix = "")
as.long.df(x, rownames = FALSE, wl.factor = FALSE, na.rm = TRUE)
as.t.df(x)
x |
a |
row.names |
if |
optional |
ignored |
... |
ignored |
wl.prefix |
prefix to prepend wavelength column names |
rownames |
should the rownames be in column |
wl.factor |
should the wavelengths be returned as a factor (instead of numeric)? |
na.rm |
if |
x@data
and x@data$spc
(== x$spc
== x [[]]
), respectively.
as.wide.df
returns a data.frame that consists of the extra data and
the spectra matrix converted to a data.frame. The spectra matrix is
expanded in place.
as.long.df
returns the stacked or molten version of x@data
. The
wavelengths are in column .wavelength
.
as.t.df
returns a data.frame similar to as.long.df
, but each
spectrum in its own column. This is useful for exporting summary spectra,
see the example.
C. Beleites
as.data.frame
and base::as.matrix()
[[[
()] ([[]]
) for a shortcut to as.matrix
stack
and melt
or reshape2::melt()
for
other functions producing long-format data.frames.
as.data.frame (chondro [1:3,, 600 ~ 620])
as.matrix (chondro [1:3,, 600 ~ 620])
lm (c ~ spc, data = flu [,,450])
as.wide.df (chondro [1:5,, 600 ~ 610])
summary (as.wide.df (chondro [1:5,, 600 ~ 610]))
as.long.df (flu [,, 405 ~ 410])
summary (as.long.df (flu [,, 405 ~ 410]))
summary (as.long.df (flu [,, 405 ~ 410], rownames = TRUE))
summary (as.long.df (flu [,, 405 ~ 410], wl.factor = TRUE))
df <- as.t.df (apply (chondro, 2, mean_pm_sd))
head (df)
if (require (ggplot2)){
ggplot (df, aes (x = .wavelength)) +
geom_ribbon (aes (ymin = mean.minus.sd, ymax = mean.plus.sd),
fill = "#00000040") +
geom_line (aes (y = mean))
}
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