propnorm: Proportional Normalization of data frame
In balexanderstats/bayesurvey: Bayesian Conjugate Prior Analysis of Survey Data
Description
Usage
Arguments
Value
Examples
View source: R/normalization.r
Description
Takes a data frame and normalizes it such that the rowSum is one
Usage
1
Arguments
data
the numeric data to be normailized
Value
A data frame that is proportionally normalized
Examples
1
2
3
4
5
df1 = data.frame(a = c(0.4, 0.3, .35, .45), b = c(.45, .40, .40, .3))
propnorm(df1)
df2 = data.frame(a = c(0.3, .34, .38), b = c(0.2, 0.21, 0.25), c = c(.45, .42, .41))
propnorm(df2)
balexanderstats/bayesurvey documentation built on Sept. 20, 2020, 11:40 a.m.
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Description Usage Arguments Value Examples
View source: R/normalization.r
Description
Takes a data frame and normalizes it such that the rowSum is one
Usage
1 |
Arguments
data |
the numeric data to be normailized |
Value
A data frame that is proportionally normalized
Examples
1 2 3 4 5 | df1 = data.frame(a = c(0.4, 0.3, .35, .45), b = c(.45, .40, .40, .3))
propnorm(df1)
df2 = data.frame(a = c(0.3, .34, .38), b = c(0.2, 0.21, 0.25), c = c(.45, .42, .41))
propnorm(df2)
|
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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