# rank

0th

Percentile

##### Sample Ranks of a Time Series

Returns the sample ranks of the values of a 'timeSeries' object.

Keywords
chron
##### Usage
"rank"(x, na.last = TRUE, ties.method = )
##### Arguments
x
an univariate object of class timeSeries.
na.last
for controlling the treatment of NAs. If TRUE, missing values in the data are put last; if FALSE, they are put first; if NA, they are removed; if "keep" they are kept with rank NA.
ties.method
a character string specifying how ties are treated; can be abbreviated.
##### Details

If all components are different (and no NAs), the ranks are well defined, with values in seq_len(x). With some values equal (called ???ties???), the argument ties.method determines the result at the corresponding indices. The "first" method results in a permutation with increasing values at each index set of ties. The "random" method puts these in random order whereas the default, "average", replaces them by their mean, and "max" and "min" replaces them by their maximum and minimum respectively, the latter being the typical sports ranking.

NA values are never considered to be equal: for na.last = TRUE and na.last = FALSE they are given distinct ranks in the order in which they occur in x.

##### Value

returns the ranks of a timeSeries object.

##### Aliases
• rank,timeSeries-method
##### Examples
library(timeSeries) ## Load Microsoft Data - X <- 100 * returns(MSFT) ## Compute the Ranks - head(rank(X[, "Open"]), 10) ## Only Interested in the Vector, then use - head(rank(series(X[, "Open"])), 10) 
Documentation reproduced from package timeSeries, version 3022.101.2, License: GPL (>= 2)

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