# smean.sd

0th

Percentile

##### Compute Summary Statistics on a Vector

A number of statistical summary functions is provided for use with summary.formula and summarize (as well as tapply and by themselves). smean.cl.normal computes 3 summary variables: the sample mean and lower and upper Gaussian confidence limits based on the t-distribution. smean.sd computes the mean and standard deviation. smean.sdl computes the mean plus or minus a constant times the standard deviation. smean.cl.boot is a very fast implementation of the basic nonparametric bootstrap for obtaining confidence limits for the population mean without assuming normality. These functions all delete NAs automatically. smedian.hilow computes the sample median and a selected pair of outer quantiles having equal tail areas.

Keywords
htest, bootstrap, nonparametric
##### Usage
smean.cl.normal(x, mult=qt((1+conf.int)/2,n-1), conf.int=.95, na.rm=TRUE)smean.sd(x, na.rm=TRUE)smean.sdl(x, mult=2, na.rm=TRUE)smean.cl.boot(x, conf.int=.95, B=1000, na.rm=TRUE, reps=FALSE)smedian.hilow(x, conf.int=.95, na.rm=TRUE)
##### Arguments
x
for summary functions smean.*, smedian.hilow, a numeric vector from which NAs will be removed automatically
na.rm
defaults to TRUE unlike built-in S-Plus functions, so that by default NAs are automatically removed
mult
for smean.cl.normal is the multiplier of the standard error of the mean to use in obtaining confidence limits of the population mean (default is appropriate quantile of the t distribution). For smean.sdl, mult is th
conf.int
for smean.cl.normal and smean.cl.boot specifies the confidence level (0-1) for interval estimation of the population mean. For smedian.hilow, conf.int is the coverage probability the outer quantiles sho
B
number of bootstrap resamples for smean.cl.boot
reps
set to TRUE to have smean.cl.boot return the vector of bootstrapped means as the reps attribute of the returned object
##### Value

• a vector of summary statistics

summarize, summary.formula

##### Aliases
• smean.cl.normal
• smean.sd
• smean.sdl
• smean.cl.boot
• smedian.hilow
##### Examples
set.seed(1)
x <- rnorm(100)
smean.sd(x)
smean.sdl(x)
smean.cl.normal(x)
smean.cl.boot(x)
smedian.hilow(x, conf.int=.5)  # 25th and 75th percentiles
Documentation reproduced from package Hmisc, version 2.0-0, License: GPL version 2 or newer

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