rotate_dimensions | R Documentation |
rotate_dimensions() takes as input a 'tbl' formatted as | <DIMENSION 1> | <DIMENSION 2> | <...> | and calculates the rotated dimensional space of the transcript abundance.
rotate_dimensions(
.data,
dimension_1_column,
dimension_2_column,
rotation_degrees,
.element = NULL,
of_samples = TRUE,
dimension_1_column_rotated = NULL,
dimension_2_column_rotated = NULL,
action = "add"
)
## S4 method for signature 'spec_tbl_df'
rotate_dimensions(
.data,
dimension_1_column,
dimension_2_column,
rotation_degrees,
.element = NULL,
of_samples = TRUE,
dimension_1_column_rotated = NULL,
dimension_2_column_rotated = NULL,
action = "add"
)
## S4 method for signature 'tbl_df'
rotate_dimensions(
.data,
dimension_1_column,
dimension_2_column,
rotation_degrees,
.element = NULL,
of_samples = TRUE,
dimension_1_column_rotated = NULL,
dimension_2_column_rotated = NULL,
action = "add"
)
## S4 method for signature 'tidybulk'
rotate_dimensions(
.data,
dimension_1_column,
dimension_2_column,
rotation_degrees,
.element = NULL,
of_samples = TRUE,
dimension_1_column_rotated = NULL,
dimension_2_column_rotated = NULL,
action = "add"
)
## S4 method for signature 'SummarizedExperiment'
rotate_dimensions(
.data,
dimension_1_column,
dimension_2_column,
rotation_degrees,
.element = NULL,
of_samples = TRUE,
dimension_1_column_rotated = NULL,
dimension_2_column_rotated = NULL,
action = "add"
)
## S4 method for signature 'RangedSummarizedExperiment'
rotate_dimensions(
.data,
dimension_1_column,
dimension_2_column,
rotation_degrees,
.element = NULL,
of_samples = TRUE,
dimension_1_column_rotated = NULL,
dimension_2_column_rotated = NULL,
action = "add"
)
.data |
A 'tbl' (with at least three columns for sample, feature and transcript abundance) or 'SummarizedExperiment' (more convenient if abstracted to tibble with library(tidySummarizedExperiment)) |
dimension_1_column |
A character string. The column of the dimension 1 |
dimension_2_column |
A character string. The column of the dimension 2 |
rotation_degrees |
A real number between 0 and 360 |
.element |
The name of the element column (normally samples). |
of_samples |
A boolean. In case the input is a tidybulk object, it indicates Whether the element column will be sample or transcript column |
dimension_1_column_rotated |
A character string. The column of the rotated dimension 1 (optional) |
dimension_2_column_rotated |
A character string. The column of the rotated dimension 2 (optional) |
action |
A character string. Whether to join the new information to the input tbl (add), or just get the non-redundant tbl with the new information (get). |
'r lifecycle::badge("maturing")'
This function to rotate two dimensions such as the reduced dimensions.
Underlying custom method: rotation = function(m, d) // r = the angle // m data matrix r = d * pi / 180 ((bind_rows( c('1' = cos(r), '2' = -sin(r)), c('1' = sin(r), '2' = cos(r)) ) |> as_matrix())
A tbl object with additional columns for the reduced dimensions. additional columns for the rotated dimensions. The rotated dimensions will be added to the original data set as '<NAME OF DIMENSION> rotated <ANGLE>' by default, or as specified in the input arguments.
A tbl object with additional columns for the reduced dimensions. additional columns for the rotated dimensions. The rotated dimensions will be added to the original data set as '<NAME OF DIMENSION> rotated <ANGLE>' by default, or as specified in the input arguments.
A tbl object with additional columns for the reduced dimensions. additional columns for the rotated dimensions. The rotated dimensions will be added to the original data set as '<NAME OF DIMENSION> rotated <ANGLE>' by default, or as specified in the input arguments.
A tbl object with additional columns for the reduced dimensions. additional columns for the rotated dimensions. The rotated dimensions will be added to the original data set as '<NAME OF DIMENSION> rotated <ANGLE>' by default, or as specified in the input arguments.
A 'SummarizedExperiment' object
A 'SummarizedExperiment' object
counts.MDS =
tidybulk::se_mini |>
identify_abundant() |>
reduce_dimensions( method="MDS", .dims = 3)
counts.MDS.rotated = rotate_dimensions(counts.MDS, `Dim1`, `Dim2`, rotation_degrees = 45, .element = sample)
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