Package 'massProps'

Description

add_radii_of_gyration() adds calculated radii of gyration to a data frame of rolled-up mass properties.

Radii of gyration are calculated directly from moments of inertia and mass; they are not recursively-defined, and do not require a rollup method.

Usage

add_radii_of_gyration(df)

Arguments

Value

A data frame with the same columns as df, plus radii of gyration in columns kx, ky, and kz.'

Examples

test_table_rollup <- rollup_mass_props(test_tree, test_table)
add_radii_of_gyration(test_table_rollup)

Description

combine_mass_props() calculates the mass properties of an aggregate from a list of constituent mass properties.

Usage

combine_mass_props(mpl)

Arguments

Details

See vignette("massProps", package = "massProps") for details on the algorithms employed.

Value

Combined mass properties list with the same named elements.

Examples

leaves <- names(igraph::neighbors(test_tree, "A.3", mode = "in"))
mpl <- Map(f = function(id) get_mass_props(test_table, id), leaves)
combine_mass_props(mpl)

Description

combine_mass_props_and_unc() is a convenience wrapper that concatenates the results of combine_mass_props() and combine_mass_props_unc().

Usage

combine_mass_props_and_unc(mpl)

Arguments

Value

Combined mass properties list with the same named elements.

Examples

leaves <- names(igraph::neighbors(sawe_tree, "Combined", mode = "in"))
mpl <- Map(f = function(id) get_mass_props_and_unc(sawe_table, id), leaves)
combine_mass_props_and_unc(mpl)

Description

combine_mass_prop_unc() calculates the mass properties uncertainties of an aggregate from the mass properties and uncertainties of its constituents and the mass properties of the aggregate.

Usage

combine_mass_props_unc(mpl, amp)

Arguments

Details

See vignette("massProps", package = "massProps") for details on the algorithms employed.

Value

The mass properties and uncertainties of the aggregate. A list with the same elements as members of mpl.

Examples

leaves <- names(igraph::neighbors(sawe_tree, "Combined", mode = "in"))
mpl <- Map(f = function(id) get_mass_props_and_unc(sawe_table, id), leaves)
combine_mass_props_unc(mpl, amp = get_mass_props(sawe_table, "Combined"))

Description

get_mass_props() creates a mass properties list from a selected row in a data frame.

Usage

get_mass_props(df, id)

Arguments

Value

A list with the following named elements:

• mass Numeric mass.

• center_mass Numeric 3-vector center of mass.

• point Logical indicating point mass. The inertia of point masses is excluded from calculations.

• inertia Numeric 3x3 matrix inertia tensor. The signs of the off-diagonal elements of the inertia tensor are determined by POIconv. For example, the $xy$ element of the inertia tensor is Ixy if POIconv is "-"; it is -Ixy if POIconv is "+".

Examples

get_mass_props(mp_table, "C.1.2.2.3.1.2.3")

Description

get_mass_props_and_unc() is a convenience wrapper that combines the results of get_mass_props() and get_mass_props_unc().

Usage

get_mass_props_and_unc(df, id)

Arguments

Value

A list with the following named elements:

• mass Numeric mass.

• center_mass Numeric 3-vector center of mass.

• point Logical indicating point mass. The inertia of point masses is excluded from calculations.

• inertia Numeric 3x3 matrix inertia tensor. The signs of the off-diagonal elements of the inertia tensor are determined by POIconv. For example, the $xy$ element of the inertia tensor is Ixy if POIconv is "-"; it is -Ixy if POIconv is "+".

• sigma_mass Numeric mass uncertainty.

• sigma_center_mass Numeric 3-vector center of mass uncertainties.

• sigma_inertia Numeric 3x3 matrix inertia tensor uncertainties.

Examples

get_mass_props_and_unc(mp_table, "C.1.2.2.3.1.2.3")

Description

get_mass_props_and_unc_and_radii() creates a mass properties and uncertainties and radii of gyration list from a selected row in a data frame.

Usage

get_mass_props_and_unc_and_radii(df, id)

Arguments

Value

A list with the following named elements:

• mass Numeric mass.

• center_mass Numeric 3-vector center of mass.

• point Logical indicating point mass. The inertia of point masses is excluded from calculations.

• inertia Numeric 3x3 matrix inertia tensor. The signs of the off-diagonal elements of the inertia tensor are determined by POIconv. For example, the $xy$ element of the inertia tensor is Ixy if POIconv is "-"; it is -Ixy if POIconv is "+".

• sigma_mass Numeric mass uncertainty.

• sigma_center_mass Numeric 3-vector center of mass uncertainties.

• sigma_inertia Numeric 3x3 matrix inertia tensor uncertainties.

• radii_gyration Numeric 3-vector radii of gyration.

Examples

mp_table_small_rollup <- rollup_mass_props_and_unc(mp_tree_small, mp_table_small)
radii_table_small <- add_radii_of_gyration(mp_table_small_rollup)
get_mass_props_and_unc_and_radii(radii_table_small, "C.1")

Description

get_mass_props_and_unc_and_radii_and_unc() creates a mass properties and uncertainties and radii of gyration and uncertainties list from a selected row in a data frame.

Usage

get_mass_props_and_unc_and_radii_and_unc(df, id)

Arguments

Value

A list with the following named elements:

• mass Numeric mass.

• center_mass Numeric 3-vector center of mass.

• point Logical indicating point mass. The inertia of point masses is excluded from calculations.

• inertia Numeric 3x3 matrix inertia tensor. The signs of the off-diagonal elements of the inertia tensor are determined by POIconv. For example, the $xy$ element of the inertia tensor is Ixy if POIconv is "-"; it is -Ixy if POIconv is "+".

• sigma_mass Numeric mass uncertainty.

• sigma_center_mass Numeric 3-vector center of mass uncertainties.

• sigma_inertia Numeric 3x3 matrix inertia tensor uncertainties.

• radii_gyration Numeric 3-vector radii of gyration.

• sigma_radii_gyration Numeric 3-vector radii of gyration uncertainties.

Examples

mp_table_small_rollup <- rollup_mass_props_and_unc(mp_tree_small, mp_table_small)
radii_and_unc_table <- rollup_radii_of_gyration_unc(
                          mp_tree_small, add_radii_of_gyration(mp_table_small_rollup))
get_mass_props_and_unc_and_radii_and_unc(radii_and_unc_table, "C.1")

Description

get_mass_props_unc() creates a mass properties uncertainties list from a selected row in a data frame.

Usage

get_mass_props_unc(df, id)

Arguments

Value

A list with the following named elements:

• sigma_mass Numeric mass uncertainty.

• sigma_center_mass Numeric 3-vector center of mass uncertainties.

• sigma_inertia Numeric 3x3 matrix inertia tensor uncertainties.

Examples

get_mass_props_unc(mp_table, "C.1.2.2.3.1.2.3")

Description

Example Mass Properties Table

Usage

mp_table

Format

A data frame with columns:

id

unique key

name

character name

POIconv

sign convention for products of inertia (one of c("+", "-"))

mass

mass

Cx

$x$-component of center of mass

Cy

$y$-component of center of mass

Cz

$z$-component of center of mass

Ixx

$I_{xx}$ moment of inertia

Iyy

$I_{yy}$ moment of inertia

Izz

$I_{zz}$ moment of inertia

Ixy

$I_{xy}$ product of inertia

Ixz

$I_{xz}$ product of inertia

Iyz

$I_{yz}$ product of inertia

Ipoint

logical indicator to consider item a point mass, i.e., with negligible inertia

sigma_mass

mass uncertainty

sigma_Cx

$x$-component of center of mass uncertainty

sigma_Cy

$y$-component of center of mass uncertainty

sigma_Cz

$z$-component of center of mass uncertainty

sigma_Ixx

$I_{xx}$ moment of inertia uncertainty

sigma_Iyy

$I_{yy}$ moment of inertia uncertainty

sigma_Izz

$I_{zz}$ moment of inertia uncertainty

sigma_Ixy

$I_{xy}$ product of inertia uncertainty

sigma_Ixz

$I_{xz}$ product of inertia uncertainty

sigma_Iyz

$I_{yz}$ product of inertia uncertainty

Description

Example Small Mass Properties Table

Usage

mp_table_small

Format

A data frame with columns:

id

unique key

name

character name

POIconv

sign convention for products of inertia (one of c("+", "-"))

mass

mass

Cx

$x$-component of center of mass

Cy

$y$-component of center of mass

Cz

$z$-component of center of mass

Ixx

$I_{xx}$ moment of inertia

Iyy

$I_{yy}$ moment of inertia

Izz

$I_{zz}$ moment of inertia

Ixy

$I_{xy}$ product of inertia

Ixz

$I_{xz}$ product of inertia

Iyz

$I_{yz}$ product of inertia

Ipoint

logical indicator to consider item a point mass, i.e., with negligible inertia

sigma_mass

mass uncertainty

sigma_Cx

$x$-component of center of mass uncertainty

sigma_Cy

$y$-component of center of mass uncertainty

sigma_Cz

$z$-component of center of mass uncertainty

sigma_Ixx

$I_{xx}$ moment of inertia uncertainty

sigma_Iyy

$I_{yy}$ moment of inertia uncertainty

sigma_Izz

$I_{zz}$ moment of inertia uncertainty

sigma_Ixy

$I_{xy}$ product of inertia uncertainty

sigma_Ixz

$I_{xz}$ product of inertia uncertainty

sigma_Iyz

$I_{yz}$ product of inertia uncertainty

Description

Example Mass Properties Tree

Usage

mp_tree

Format

An 'igraph' tree whose vertices are named as the values of the id column of a mass properties table and whose directed edges point from child id to parent id.

Description

Example Small Mass Properties Tree

Usage

mp_tree_small

Format

An 'igraph' tree whose vertices are named as the values of the id column of a mass properties table and whose directed edges point from child id to parent id.

Description

'rollup_mass_props()' rolls up mass properties in a data frame such that the mass properties of each non-leaf vertex element is the aggregation of those of its child elements.

Usage

rollup_mass_props(tree, df, validate_df = validate_mass_props_table, ...)

Arguments

Value

The updated data frame

Examples

rollup_mass_props(mp_tree_small, mp_table_small)

Description

'rollup_mass_props_and_unc()' rolls up mass properties in a data frame with (at least) these columns: id, mass, Cx, Cy, Cz, Ixx, Iyy, Izz, Ixy, Ixz, Iyz, POIconv, Ipoint, sigma_mass, sigma_Cx, sigma_Cy, sigma_Cz, sigma_Ixx, sigma_Iyy, sigma_Izz, sigma_Ixy, sigma_Ixz, sigma_Iyz.

The difference between rollup_mass_props_unc() and rollup_mass_props_and_unc() is that rollup_mass_props_unc() expects the mass properties in its input to have been rolled up, whereas rollup_mass_props_and_unc() performs the mass properties rollup itself.

Usage

rollup_mass_props_and_unc(
  tree,
  df,
  validate_df = validate_mass_props_and_unc_table,
  ...
)

Arguments

Value

The updated data frame

Examples

rollup_mass_props_and_unc(mp_tree_small, mp_table_small)

Description

rollup_mass_props_and_unc_fast() performs the same operation as rollup_mass_props_and_unc() but omits input validation. It is somewhat faster than rollup_mass_props_and_unc() but should be used with caution and only under circumstances in which the caller assumes responsibility for validity of input. Its behavior when passed ill-formed input is unspecified.

Usage

rollup_mass_props_and_unc_fast(tree, df)

Arguments

Value

The updated data frame

Examples

rollup_mass_props_and_unc_fast(sawe_tree, sawe_table)

Description

rollup_mass_props_fast() performs the same operation as rollup_mass_props() but omits input validation. It is somewhat faster than rollup_mass_props() but should be used with caution and only under circumstances in which the caller assumes responsibility for validity of input. Its behavior when passed ill-formed input is unspecified.

Usage

rollup_mass_props_fast(tree, df)

Arguments

Value

The updated data frame

Examples

rollup_mass_props_fast(test_tree, test_table)

Description

rollup_mass_props_unc() rolls up mass properties uncertainties in a data frame such that the uncertainties of each non-leaf vertex element is the aggregation of the mass properties and uncertainties of its child elements.

The difference between rollup_mass_props_unc() and rollup_mass_props_and_unc() is that rollup_mass_props_unc() expects the mass properties in its input to have been rolled up, whereas rollup_mass_props_and_unc() performs the mass properties rollup itself.

Usage

rollup_mass_props_unc(
  tree,
  df,
  validate_df = validate_mass_props_and_unc_table,
  ...
)

Arguments

Value

The updated data frame

Examples

mp_ru <- rollup_mass_props(mp_tree_small, mp_table_small)
rollup_mass_props_unc(mp_tree_small, mp_ru)

Description

rollup_mass_props_unc_fast() performs the same operation as rollup_mass_props_unc() but omits input validation. It is somewhat faster than rollup_mass_props_unc() but should be used with caution and only under circumstances in which the caller assumes responsibility for validity of input. Its behavior when passed ill-formed input is unspecified.

Usage

rollup_mass_props_unc_fast(tree, df)

Arguments

Value

The updated data frame

Examples

rollup_mass_props_unc_fast(sawe_tree, sawe_table)

Description

rollup_radii_of_gyration_unc() adds calculated radii of gyration uncertainties to a data frame of rolled-up mass properties and uncertainties.

Radii of gyration uncertainties are calculated directly from moments of inertia and mass and their uncertainties; they are not recursively-defined. Radii of gyration uncertainties for composite elements depend on uncertainties of their component elements.

Usage

rollup_radii_of_gyration_unc(tree, df)

Arguments

Value

A data frame with the same columns as df, plus radii of gyration in columns sigma_kx, sigma_ky, and sigma_kz.'

Examples

sawe_table_rollup <- rollup_mass_props(sawe_tree, sawe_table)
rollup_radii_of_gyration_unc(sawe_tree, add_radii_of_gyration(sawe_table_rollup))

Description

Mass Properties and Uncertainties Table from SAWE Paper No. 3360

Usage

sawe_table

Format

A data frame with columns:

id

unique key

mass

mass

Cx

x component of center of mass

Cy

y component of center of mass

Cz

z component of center of mass

Ixx

Ixx moment of inertia

Iyy

Iyy moment of inertia

Izz

Izz moment of inertia

Ixy

Ixy product of inertia

Ixz

Ixz product of inertia

Iyz

Iyz product of inertia

sigma_mass

mass uncertainty

sigma_Cx

x component of center of mass uncertainty

sigma_Cy

y component of center of mass uncertainty

sigma_Cz

z component of center of mass uncertainty

sigma_Ixx

Ixx moment of inertia uncertainty

sigma_Iyy

Iyy moment of inertia uncertainty

sigma_Izz

Izz moment of inertia uncertainty

sigma_Ixy

Ixy product of inertia uncertainty

sigma_Ixz

Ixz product of inertia uncertainty

sigma_Iyz

Iyz product of inertia uncertainty

Ipoint

logical indicator to consider item a point mass

POIconv

sign convention for products of inertia (one of c("+", "-"))

Source

Zimmerman, Robert L., and John H. Nakai. 2005. “Are You Sure? Uncertainty in Mass Properties Engineering.” In 64th Annual International Conference on Mass Properties Engineering, 123–60. Society of Allied Weight Engineers.

Note: the results for combined mass properties and uncertainties in the published example are accurate only within approximately 0.2%.

Description

Mass Properties and Uncertainties Tree from SAWE Paper No. 3360

Usage

sawe_tree

Format

An igraph tree with edges from child id to parent id.

Source

Zimmerman, Robert L., and John H. Nakai. 2005. “Are You Sure? Uncertainty in Mass Properties Engineering.” In 64th Annual International Conference on Mass Properties Engineering, 123–60. Society of Allied Weight Engineers.

Description

set_mass_props() sets mass properties for a specified row in a data frame.

Usage

set_mass_props(df, id, mp)

Arguments

Value

The updated data frame with columns id, mass, Cx, Cy, Cz, Ixx, Iyy, Izz, Ixy, Ixz, Iyz, POIconv, Ipoint.

Examples

df <- data.frame(id = c("C.1.2.2.3.1.2.3", "C.1.2.2.3.2.1.1"))
mp <- get_mass_props(mp_table, "C.1.2.2.3.2.1.1")
mp$poi_conv = "+"
set_mass_props(df, "C.1.2.2.3.2.1.1", mp)

Description

set_mass_props_and_unc() is a convenience wrapper that combines the results of set_mass_props() and set_mass_props_unc().

Usage

set_mass_props_and_unc(df, id, mpu)

Arguments

Value

The updated data frame.

Examples

mpu <- c(get_mass_props_and_unc(sawe_table, "Widget"), poi_conv = "+")
set_mass_props_and_unc(sawe_table, "Combined", mpu)

Description

set_mass_props_unc() sets mass properties uncertainties for a selected row in a data frame with an id column.

Usage

set_mass_props_unc(df, id, mpu)

Arguments

Value

The updated data frame.

Examples

set_mass_props_unc(sawe_table, "Combined", get_mass_props_unc(sawe_table, "Widget"))

Description

set_poi_conv_from_target() sets the products of inertia sign convention for a mass properties list to that of a target item in a mass properties table. This convention determines how products of inertia are saved to the data frame.

The signature ⁠of set_poi_conv_from_target()⁠ is such that it can be passed as an override argument to update_mass_props() and update_mass_props_and_unc(), thus ensuring that all calculated POI values follow the negative integral convention of the target item to which they are written.

Usage

set_poi_conv_from_target(df, target, mp)

Arguments

Value

The mass properties list with the named element poi_conv set to the POIconv column of the target row in the data frame.

Examples

set_poi_conv_from_target(mp_table, "C.1.2.2.3.2.1", get_mass_props(mp_table, "C.1.2.2.3.2.1.1"))

Description

set_poi_conv_minus() sets the products of inertia sign convention for a mass properties list to "-". This convention determines how products of inertia are saved to a data set.

The signature of set_poi_conv_minus() is such that it can be passed as an override argument to update_mass_props() and update_mass_props_and_unc(), thus ensuring that calculated POI values are saved using the negative integral convention.

Usage

set_poi_conv_minus(ds, target, mp)

Arguments

Value

The mass properties list with the named element poi_conv set to "-"

Examples

set_poi_conv_minus(NULL, NULL, get_mass_props(mp_table, "C.1.2.2.3.2.1.1"))

Description

set_poi_conv_plus() sets the products of inertia sign convention for a mass properties list to "+". This convention determines how products of inertia are saved to a data set.

The signature of set_poi_conv_plus() is such that it can be passed as an override argument to update_mass_props() and update_mass_props_and_unc(), thus ensuring that calculated POI values are saved using the positive integral convention.

Usage

set_poi_conv_plus(ds, target, mp)

Arguments

Value

The input mass properties list with the named element poi_conv set to "+"

Examples

set_poi_conv_plus(NULL, NULL, get_mass_props(mp_table, "C.1.2.2.3.2.1.1"))

Description

set_radii_of_gyration() sets radii of gyration for a selected row in a data frame with an id column.

Usage

set_radii_of_gyration(df, id, rg)

Arguments

Value

The updated data frame.

Examples

rgl <- list(radii_gyration = c(x = 1, y = 2, z = 3))
set_radii_of_gyration(mp_table, "C.1", rgl)[1:5, ]

Description

set_radii_of_gyration_unc() sets radii of gyration uncertainties for a selected row in a data frame with an id column.

Usage

set_radii_of_gyration_unc(df, id, rgu)

Arguments

Value

The updated data frame.

Examples

rgul <- list(sigma_radii_gyration = c(x = 1, y = 2, z = 3))
set_radii_of_gyration_unc(mp_table, "C.1", rgul)[1:5, ]

Description

Example Mass Properties Table

Usage

test_table

Format

A data frame with columns:

id

unique key

parent

parent key

mass

mass

Cx

x component of center of mass

Cy

y component of center of mass

Cz

z component of center of mass

Ixx

Ixx moment of inertia

Iyy

Iyy moment of inertia

Izz

Izz moment of inertia

Ixy

Ixy product of inertia

Ixz

Ixz product of inertia

Iyz

Iyz product of inertia

POIconv

sign convention for products of inertia (one of c("+", "-"))

Ipoint

logical indicator to consider item a point mass

Description

Example Mass Properties Tree

Usage

test_tree

Format

An igraph tree with edges from child id to parent id.

Description

Example Mass Properties and Uncertainties Table

Usage

test_unc_table

Format

A data frame with columns:

id

unique key

parent

parent key

mass

mass

Cx

x component of center of mass

Cy

y component of center of mass

Cz

z component of center of mass

Ixx

Ixx moment of inertia

Iyy

Iyy moment of inertia

Izz

Izz moment of inertia

Ixy

Ixy product of inertia

Ixz

Ixz product of inertia

Iyz

Iyz product of inertia

POIconv

sign convention for products of inertia (one of c("+", "-"))

Ipoint

logical indicator to consider item a point mass

sigma_mass

mass uncertainty

sigma_Cx

x component of center of mass uncertainty

sigma_Cy

y component of center of mass uncertainty

sigma_Cz

z component of center of mass uncertainty

sigma_Ixx

Ixx moment of inertia uncertainty

sigma_Iyy

Iyy moment of inertia uncertainty

sigma_Izz

Izz moment of inertia uncertainty

sigma_Ixy

Ixy product of inertia uncertainty

sigma_Ixz

Ixz product of inertia uncertainty

sigma_Iyz

Iyz product of inertia uncertainty

Description

update_mass_props() updates mass properties for a specified target row from specified source rows in a data frame.

Usage

update_mass_props(df, target, sources, override = set_poi_conv_from_target)

Arguments

Value

The updated data frame.

Examples

leaves <- names(igraph::neighbors(test_tree, "A.3", mode = "in"))
update_mass_props(test_table, "A.3", leaves)

Description

update_mass_props_and_unc() updates mass properties and uncertainties for a specified target row from specified source rows in a data frame.

Usage

update_mass_props_and_unc(
  df,
  target,
  sources,
  override = set_poi_conv_from_target
)

Arguments

Value

The updated data frame.

Examples

leaves <- list("Widget", "2nd Part")
update_mass_props_and_unc(sawe_table, "Combined", leaves)

Description

update_mass_props_unc() updates mass properties uncertainties for a specified target row from specified source rows in a data frame with (at least) these columns: id, sigma_mass, sigma_Cx, sigma_Cy, sigma_Cz, sigma_Ixx, sigma_Iyy, sigma_Izz, sigma_Ixy, sigma_Ixz, sigma_Iyz.

Usage

update_mass_props_unc(df, target, sources, override = set_poi_conv_from_target)

Arguments

Value

The updated data frame.

Examples

leaves <- names(igraph::neighbors(sawe_tree, "Combined", mode = "in"))
update_mass_props_unc(sawe_table, "Combined", leaves)

Description

validate_mass_props() ensures that a mass properties list satisfies the following constraints:

• mass is non-missing and positive

• center_mass is a 3-vector of non-missing numeric values

• point is TRUE or FALSE

• if point is FALSE:

  • inertia is positive definite

  • eigenvalues $\{\lambda_1, \lambda_2, \lambda_3\}$ of inertia satisfy the triangle inequalities:

    • $\lambda_1 < \lambda_2 + \lambda_3$

    • $\lambda_2 < \lambda_1 + \lambda_3$

    • $\lambda_3 < \lambda_1 + \lambda_2$

Usage

validate_mass_props(mp)

Arguments

Value

TRUE if valid, stops otherwise

Examples

mp <- get_mass_props(test_table, "C.1")
validate_mass_props(mp)

Description

validate_mass_props_and_unc() is a convenience wrapper that calculates the logical conjunction of validate_mass_props() and validate_mass_props_unc().

Usage

validate_mass_props_and_unc(mpu)

Arguments

Value

TRUE if valid, stops otherwise

Examples

mpu <- get_mass_props_and_unc(sawe_table, "Widget")
validate_mass_props_and_unc(mpu)

Description

validate_mass_props_and_unc() calls validate_mass_props_table() and further applies the checks of validate_mass_props_and_unc() to every row of the data frame corresponding to a leaf vertex of the tree.

Usage

validate_mass_props_and_unc_table(tree, df)

Arguments

Value

TRUE if valid, stops with an error otherwise

Examples

validate_mass_props_and_unc_table(mp_tree_small, mp_table_small)

Description

validate_mass_props_table() checks that the names of vertices in a tree and the id values of a data frame are identical. It further applies the checks of validate_mass_props() to every row of the data frame corresponding to a leaf vertex of the tree.

validate_mass_props_table() ensures that the id column of the table and the vertices of the tree contain the same identifiers, and that the mass properties of every leaf element of the table are valid.

Usage

validate_mass_props_table(tree, df)

Arguments

Value

TRUE if valid, stops with an error otherwise

Examples

validate_mass_props_table(mp_tree_small, mp_table_small)

Description

validate_mass_props_unc() ensures that a mass properties and uncertainties list satisfies the following constraints:

• sigma_mass is non-missing and non-negative

• sigma_center_mass is a 3-vector of non-missing non-negative values

• if point is FALSE, the sigma_inertia contains no missing or negative values

Usage

validate_mass_props_unc(mp)

Arguments

Value

TRUE if valid, stops otherwise

Examples

mp <- get_mass_props_and_unc(sawe_table, "Widget")
validate_mass_props_unc(mp)