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/dports/devel/R-cran-reshape2/reshape2/
H A DNEWS.md9 * `melt.data.frame()` throws when encountering objects of type `POSIXlt`,
18 * `melt.data.frame()` now properly sets the OBJECT bit on `value` variable
22 * `melt.data.frame()` can melt `data.frame`s containing `list` elements as `id`
25 * `melt.data.frame()` no longer errors when `measure.vars` is `NULL` or empty.
35 * `melt.array()` creates factor variables with levels in the same order
38 * `melt.data.frame()` gains an internal Rcpp / C++ implementation, and
43 * `melt.data.frame()` gains a `factorsAsStrings` argument that controls whether
50 * `recast()` now returns a data frame instead of a list (#45).
64 data frame subsetting.
87 * `melt.data.frame` no longer turns characters into factors
[all …]
H A DNAMESPACE3 S3method(melt,array)
4 S3method(melt,data.frame)
5 S3method(melt,default)
6 S3method(melt,list)
7 S3method(melt,matrix)
8 S3method(melt,table)
13 export(melt)
H A DMD57 125db94629ec768bc540371316d2eb80 *R/data.r
12 7636e967448a7846e6697cb899c63fb4 *R/melt.r
17 11d6f343f97ca34edc7cb5ad4a174d05 *data/french_fries.rda
18 931bb9da3bce71ebcb25ba53c5dcd1e5 *data/smiths.rda
19 6a3f0a74f813cd68547e665f42b8a3cb *data/tips.rda
27 d6f2f4a84a074f2dfdcd4e657dc82f62 *man/melt.Rd
28 407a4e0b78f9dd699104beaf8683563a *man/melt.array.Rd
29 175650903f4598177b6492eb788103c1 *man/melt.data.frame.Rd
30 ddc992f9eba0069d43ed52257f9a1478 *man/melt.default.Rd
31 ad825331c5a60b06c14296dcde34b067 *man/melt.list.Rd
[all …]
/dports/devel/R-cran-reshape2/reshape2/man/
H A Dmelt.data.frame.Rd3 \name{melt.data.frame}
4 \alias{melt.data.frame}
5 \title{Melt a data frame into form suitable for easy casting.}
7 \method{melt}{data.frame}(
8 data,
19 \item{data}{data frame to melt}
31 \item{na.rm}{Should NA values be removed from the data set? This will
44 data set belong to the other. If you supply neither, melt will assume
52 melt(ChickWeight, id=2:4)
57 Other melt methods:
[all …]
H A Dmelt.array.Rd10 data,
11 varnames = names(dimnames(data)),
19 data,
20 varnames = names(dimnames(data)),
28 data,
29 varnames = names(dimnames(data)),
37 \item{data}{array to melt}
39 \item{varnames}{variable names to use in molten data.frame}
43 \item{na.rm}{Should NA values be removed from the data set? This will
53 This code is conceptually similar to \code{\link{as.data.frame.table}}
[all …]
H A Dmelt.default.Rd3 \name{melt.default}
4 \alias{melt.default}
6 For vectors, makes a column of a data frame}
8 \method{melt}{default}(data, ..., na.rm = FALSE, value.name = "value")
11 \item{data}{vector to melt}
15 \item{na.rm}{Should NA values be removed from the data set? This will
22 For vectors, makes a column of a data frame
27 Other melt methods:
29 \code{\link{melt.data.frame}()},
30 \code{\link{melt.list}()}
[all …]
H A Dmelt.Rd2 % Please edit documentation in R/melt.r
3 \name{melt}
4 \alias{melt}
5 \title{Convert an object into a molten data frame.}
7 melt(data, ..., na.rm = FALSE, value.name = "value")
10 \item{data}{Data set to melt}
14 \item{na.rm}{Should NA values be removed from the data set? This will
20 This the generic melt function. See the following functions
21 for the details about different data structures:
25 \item \code{\link{melt.data.frame}} for data.frames
[all …]
H A Dmelt.list.Rd3 \name{melt.list}
4 \alias{melt.list}
7 \method{melt}{list}(data, ..., level = 1)
10 \item{data}{list to recursively melt}
21 melt(a)
23 melt(a)
25 melt(a)
27 melt(a)
34 Other melt methods:
36 \code{\link{melt.data.frame}()},
[all …]
H A Dcast.Rd8 Cast a molten data frame into an array or data frame.}
11 data,
19 value.var = guess_value(data)
23 data,
31 value.var = guess_value(data)
35 \item{data}{molten data frame, see \code{\link{melt}}.}
62 vector/matrix/array output or data frame output. Data frames can have at
87 aqm <- melt(airquality, id=c("month", "day"), na.rm=TRUE)
100 chick_m <- melt(ChickWeight, id=2:4, na.rm=TRUE)
122 ff_d <- melt(french_fries, id=1:4, na.rm=TRUE)
[all …]
H A Dmelt_check.Rd2 % Please edit documentation in R/melt.r
5 \title{Check that input variables to melt are appropriate.}
7 melt_check(data, id.vars, measure.vars, variable.name, value.name)
10 \item{data}{data frame}
26 melt will assume the remainder of the variables in the data set belong to
27 the other. If you supply neither, melt will assume discrete variables are
/dports/devel/R-cran-reshape/reshape/
H A DNAMESPACE7 S3method(as.data.frame,cast_df)
8 S3method(as.data.frame,cast_matrix)
13 S3method(melt,array)
14 S3method(melt,cast_df)
15 S3method(melt,cast_matrix)
16 S3method(melt,data.frame)
17 S3method(melt,default)
18 S3method(melt,list)
19 S3method(melt,matrix)
20 S3method(melt,table)
[all …]
H A DMD512 6cacfe26ac5424be6775bb1a0681354e *R/melt.r
19 11d6f343f97ca34edc7cb5ad4a174d05 *data/french_fries.rda
20 931bb9da3bce71ebcb25ba53c5dcd1e5 *data/smiths.rda
21 6a3f0a74f813cd68547e665f42b8a3cb *data/tips.rda
26 9ee513061fbd5ab99be54bef86b27653 *man/as-data-frame-cast-df-v7.rd
27 437d18a02164c48c9d9e74dcda49e9d3 *man/as-data-frame-cast-matrix-59.rd
47 500bd5b1e6965386c00c37df816b723a *man/melt-24.rd
48 2872532c1b996f6ba3fc57c16aa5388f *man/melt-array-e0.rd
52 bf5d7a157be7f697c8fc35fc1c14ba7a *man/melt-data-frame-da.rd
54 8d17c370057c93e34b4ec0a956ea0833 *man/melt-list-8m.rd
[all …]
/dports/devel/R-cran-reshape/reshape/man/
H A Dmelt-data-frame-da.rd1 \name{melt.data.frame}
2 \alias{melt.data.frame}
3 \title{Melt a data frame}
7 Melt a data frame into form suitable for easy casting.
9 \usage{\method{melt}{data.frame}(data, id.vars, measure.vars,
12 \item{data}{Data set to melt}
20 \value{molten data}
24 data set belong to the other. If you supply neither, melt will assume
28 \examples{head(melt(tips))
30 melt(airquality, id=c("month", "day"))
[all …]
H A Dmelt-array-e0.rd1 \name{melt.array}
2 \alias{melt.array}
3 \alias{melt.matrix}
4 \alias{melt.table}
11 \usage{\method{melt}{array}(data, varnames = names(dimnames(data)), ...)}
13 \item{data}{array to melt}
14 \item{varnames}{variable names to use in molten data.frame}
18 \details{This code is conceptually similar to \code{\link{as.data.frame.table}}}
21 melt(a)
24 melt(a)
[all …]
H A Dmelt-default-gi.rd1 \name{melt.default}
2 \alias{melt.default}
3 \title{Default melt function}
7 For vectors, make a column of a data frame
9 \usage{\method{melt}{default}(data, ...)}
11 \item{data}{data frame}
H A Dmelt-24.rd1 \name{melt}
2 \alias{melt}
9 \usage{melt(data, ...)}
11 \item{data}{Data set to melt}
12 \item{...}{Other arguments passed to the specific melt method}
15 \details{This the generic melt function. See the following functions
16 for specific details for different data structures:
19 \item \code{\link{melt.data.frame}} for data.frames
20 \item \code{\link{melt.array}} for arrays, matrices and tables
21 \item \code{\link{melt.list}} for lists
H A Dmelt-cast-matrix-vq.rd1 \name{melt.cast_matrix}
2 \alias{melt.cast_matrix}
9 \usage{\method{melt}{cast_matrix}(data, ...)}
11 \item{data}{}
15 \details{Converts to a data frame and then uses \code{\link{melt.cast_df}}}
H A Dmelt-check-j7.rd7 Check that input variables to melt are appropriate.
9 \usage{melt_check(data, id.vars, measure.vars)}
11 \item{data}{data frame}
21 supply one of id.vars and measure.vars, melt will assume the remainder of
22 the variables in the data set belong to the other. If you supply neither,
23 melt will assume character and factor variables are id variables,
H A Dcast-9g.rd7 Cast a molten data frame into the reshaped or aggregated form you want
9 \usage{cast(data, formula = ... ~ variable, fun.aggregate=NULL, ...,
11 value = guess_value(data))}
13 \item{data}{molten data frame, see \code{\link{melt}}}
20 \item{subset}{logical vector to subset data set with before reshaping}
26 Once you have melted your data, cast will arrange it into the form you desire
57 aqm <- melt(airquality, id=c("month", "day"), na.rm=TRUE)
70 chick_m <- melt(ChickWeight, id=2:4, na.rm=TRUE)
86 cast(melt(tips), sex ~ smoker, mean, subset=variable=="total_bill")
87 cast(melt(tips), sex ~ smoker | variable, mean)
[all …]
H A Drecast-ar.rd7 \link{melt} and \link{cast} data in a single step
9 \usage{recast(data, formula, ..., id.var, measure.var)}
11 \item{data}{Data set to melt}
18 \details{This conveniently wraps melting and casting a data frame into
/dports/math/R-cran-zoo/zoo/man/
H A Dggplot2.zoo.Rd20 to convert the zoo object into a data frame and then uses a suitable
51 a \code{"data.frame"}.}
60 \item{melt}{Should the resulting data frame be in long format (\code{melt = TRUE})
69 \code{fortify.zoo} takes a zoo object and converts it into a data frame
77 \code{fortify.zoo} returns a \code{data.frame} either in long format
78 (\code{melt = TRUE}) or in wide format (\code{melt = FALSE}). The
110 ggplot(aes(x = Index, y = Value), data = fortify(x, melt = TRUE)) +
124 linetype = Series, facets = Series ~ ., data = fortify(z, melt = TRUE)) +
127 data = fortify(z, melt = TRUE)) + geom_line() + xlab("Index") + ylab("")
155 fortify(z, melt = TRUE)
[all …]
/dports/math/py-pandas/pandas-1.2.5/doc/source/getting_started/comparison/
H A Dcomparison_with_r.rst150 df <- data.frame(
338 df <- data.frame(
379 melt it into a data.frame:
384 data.frame(melt(a))
397 into a data.frame:
402 data.frame(melt(a))
419 reshape the data.frame:
458 df <- data.frame(
497 df <- data.frame(
589 .. |meltdf| replace:: ``melt.data.frame``
[all …]
/dports/multimedia/mlt6-qt5/mlt-6.26.1/src/modules/core/
H A Dfilter_data_show.yml12 description: Show data based on properties of the producer.
14 The data show filter uses data provided by the data feed filter.
27 …melt file.dv meta.attr.sometext.markup="this is some text" meta.attr.titles=1 meta.attr.titles.mar…
30 * #timecode# shows the frame position as a timecode.
31 * #frame# shows the frame position as an integer.
33 …melt file.dv meta.attr.timecode=1 meta.attr.timecode.markup=#timecode# -attach data_feed:attr_chec…
/dports/multimedia/mlt6/mlt-6.26.1/src/modules/core/
H A Dfilter_data_show.yml12 description: Show data based on properties of the producer.
14 The data show filter uses data provided by the data feed filter.
27 …melt file.dv meta.attr.sometext.markup="this is some text" meta.attr.titles=1 meta.attr.titles.mar…
30 * #timecode# shows the frame position as a timecode.
31 * #frame# shows the frame position as an integer.
33 …melt file.dv meta.attr.timecode=1 meta.attr.timecode.markup=#timecode# -attach data_feed:attr_chec…
/dports/multimedia/py-mlt6/mlt-6.26.1/src/modules/core/
H A Dfilter_data_show.yml12 description: Show data based on properties of the producer.
14 The data show filter uses data provided by the data feed filter.
27 …melt file.dv meta.attr.sometext.markup="this is some text" meta.attr.titles=1 meta.attr.titles.mar…
30 * #timecode# shows the frame position as a timecode.
31 * #frame# shows the frame position as an integer.
33 …melt file.dv meta.attr.timecode=1 meta.attr.timecode.markup=#timecode# -attach data_feed:attr_chec…

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