52 lines
1.3 KiB
Groff
52 lines
1.3 KiB
Groff
.\" man page create by R# package system.
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.TH STATS 1 2000-Jan "z" "z"
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.SH NAME
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z \- z-score
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.SH SYNOPSIS
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\fIz(\fBx\fR as any,
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\fBbyrow\fR as boolean = FALSE,
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[\fB<Environment>\fR]);\fR
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.SH DESCRIPTION
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.PP
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z-score
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.PP
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.SH OPTIONS
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.PP
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\fBx\fB \fR\- -.
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.PP
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.PP
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\fBbyrow\fB \fR\-
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this parameter works when the data type of the input
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data **`x`** is a dataframe or matrix
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object
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.
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.PP
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.SH VALUE
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.PP
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NA, NaN, Inf missing value in the matrix will be set
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to the default value zero in the return value of this
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function
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.PP
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.SH DETAILS
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.PP
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#### Standard score(z-score)
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In statistics, the standard score is the signed number of standard deviations by which the value of
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an observation or data point is above the mean value of what is being observed or measured. Observed
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values above the mean have positive standard scores, while values below the mean have negative
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standard scores. The standard score is a dimensionless quantity obtained by subtracting the population
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mean from an individual raw score and then dividing the difference by the population standard deviation.
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This conversion process is called standardizing or normalizing (however, "normalizing" can refer to
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many types of ratios; see normalization for more).
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> https://en.wikipedia.org/wiki/Standard_score
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.PP
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.SH SEE ALSO
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stats
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.SH FILES
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.PP
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Rlapack.dll
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.PP
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.SH COPYRIGHT
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GPL3
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