get95CIellipse: Calculate surface area of a confidence ellipse on 2D data.
In thartbm/handlocs: Download and analyse 2D reaching and hand localization data
get95CIellipse R Documentation
Calculate surface area of a confidence ellipse on 2D data.
Description
This function uses PCA to calculate the standard deviation across
the two main axes of the spread of 2D data. Multiplying that length-2 vector
by 'pi' and the confidence level gives the surface area of an ellipse that will
contain the mean in some percentage of cases.
This relies on the data being in the same unit, and makes most sense if it is real
data (such as locations in a cartesian coordinate system).
Usage
get95CIellipse(df, vars = NULL, conf.level = 0.95)
Arguments
df
A data frame, with (at least) 2 variables with the same unit.
vars
A list of column to use in the data frame, if 'df' has more than
2 columns.
conf.level
The level of confidence to use. Default is 0.95.
Details
Not yet.
Value
The surface area of an ellipse that contains the mean of the data in 95%
of replications of the same experiment.
thartbm/handlocs documentation built on Feb. 18, 2025, 10:53 p.m.
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| get95CIellipse | R Documentation |
Calculate surface area of a confidence ellipse on 2D data.
Description
This function uses PCA to calculate the standard deviation across the two main axes of the spread of 2D data. Multiplying that length-2 vector by 'pi' and the confidence level gives the surface area of an ellipse that will contain the mean in some percentage of cases. This relies on the data being in the same unit, and makes most sense if it is real data (such as locations in a cartesian coordinate system).
Usage
get95CIellipse(df, vars = NULL, conf.level = 0.95)
Arguments
df |
A data frame, with (at least) 2 variables with the same unit. |
vars |
A list of column to use in the data frame, if 'df' has more than 2 columns. |
conf.level |
The level of confidence to use. Default is 0.95. |
Details
Not yet.
Value
The surface area of an ellipse that contains the mean of the data in 95% of replications of the same experiment.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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