distMode: Mode of continuous distributions
In chrischen1/viper_copy: Virtual Inference of Protein-activity by Enriched Regulon analysis
Description
Usage
Arguments
Value
Examples
Description
This function computes the mode for continuous distributions
Usage
1
distMode(x, adj = 1)
Arguments
x
Numeric data vector
adj
Number indicating the adjustment for the kernel bandwidth
Value
Number
Examples
1
2
3
4
5
6
7
8
data(bcellViper, package="bcellViper")
d1 <- exprs(dset)
mean(d1[, 1])
median(d1[, 1])
distMode(d1[, 1])
plot(density(d1[, 1]))
abline(v=c(mean(d1[, 1]), median(d1[, 1]), distMode(d1[, 1])), col=c("green", "red", "blue"))
legend("topleft", c("Mean", "Median", "Mode"), col=c("green", "red", "blue"), lwd=4)
chrischen1/viper_copy documentation built on May 13, 2019, 6:52 p.m.
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Description Usage Arguments Value Examples
Description
This function computes the mode for continuous distributions
Usage
1 | distMode(x, adj = 1)
|
Arguments
x |
Numeric data vector |
adj |
Number indicating the adjustment for the kernel bandwidth |
Value
Number
Examples
1 2 3 4 5 6 7 8 | data(bcellViper, package="bcellViper")
d1 <- exprs(dset)
mean(d1[, 1])
median(d1[, 1])
distMode(d1[, 1])
plot(density(d1[, 1]))
abline(v=c(mean(d1[, 1]), median(d1[, 1]), distMode(d1[, 1])), col=c("green", "red", "blue"))
legend("topleft", c("Mean", "Median", "Mode"), col=c("green", "red", "blue"), lwd=4)
|
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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