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# Rmetrics is free software; you can redistribute it and/or
# modify it under the terms of the GNU Library General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# Rmetrics is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Library General Public License for more details.
#
# You should have received a copy of the GNU Library General
# Public License along with this library; if not, write to the
# Free Foundation, Inc., 59 Temple Place, Suite 330, Boston,
# MA 02111-1307 USA
################################################################################
test.subset <-
function()
{
ts <- dummyMonthlySeries()
mat <- as.matrix(ts)
# we want the same subset-ting rules as for a matrix
# but we always print result in vertical style !
# --------------------------------------------------------------------------
# index
checkIdentical(
ts[],
ts)
checkTrue(suppressWarnings(is.na(ts[""])))
checkTrue(is.na(mat[""]))
checkIdentical(
as.matrix(ts[seq(4),2]),
mat[seq(4),2,drop=FALSE])
checkIdentical(
as.matrix(ts[rep(FALSE, 3), 1]),
mat[rep(FALSE, 3), 1,drop=FALSE])
checkIdentical(
as.matrix(ts[FALSE, 1]),
mat[FALSE, 1, drop = FALSE])
checkIdentical(
as.matrix(ts[rep(TRUE), 2]),
mat[rep(TRUE), 2, drop=FALSE])
charvec <- as.character(timeCalendar()[1:3])
checkIdentical(
as.matrix(ts[charvec, 1]),
mat[charvec, 1, drop = FALSE])
checkIdentical(
as.matrix(ts[seq(4),]),
mat[seq(4),,drop=FALSE])
checkIdentical(
as.matrix(ts[rep(FALSE, 3), ]),
mat[rep(FALSE, 3), ,drop=FALSE])
checkIdentical(
as.matrix(ts[FALSE, ]),
mat[FALSE, ,drop=FALSE])
checkIdentical(
as.matrix(ts[rep(TRUE), ]),
mat[rep(TRUE), ,drop=FALSE ])
dd <- as.character(time(ts)[1])
checkIdentical(
as.matrix(ts[dd, ]),
mat[dd, ,drop=FALSE])
checkIdentical(
as.matrix(ts[,2]),
mat[,2,drop=FALSE])
checkIdentical(
as.matrix(ts[2,FALSE]),
mat[2,FALSE, drop=FALSE])
# prefer to have an empty timeSeries instead of empty data with row names
checkIdentical(
as.matrix(ts[,FALSE]),
mat[,FALSE, drop = FALSE])
checkIdentical(
as.matrix(ts[,TRUE ]),
mat[,TRUE ,drop=FALSE])
checkIdentical(
as.matrix(ts[, "TS.1"]),
mat[, "TS.1", drop = FALSE])
# --------------------------------------------------------------------------
# timeDate
checkIdentical(
ts[timeCalendar()[1:5], 2],
ts[1:5,2])
checkIdentical(
ts[timeCalendar()[1:5], ],
ts[1:5,])
# --------------------------------------------------------------------------
# logical matrix and timeSeries
i <- ts < 0.4
checkException(ts[series(i), ], silent = TRUE)
checkException(ts[i, ], silent = TRUE)
checkException(mat[series(i), ], silent = TRUE) # it fails as expected
checkIdentical(
as.matrix(ts[series(i)[,1], ]),
mat[series(i)[,1], , drop=FALSE])
checkIdentical(
as.matrix(ts[i[,1], ]),
mat[series(i)[,1], , drop=FALSE])
checkIdentical(
as.matrix(ts[series(i)[,1],1]),
mat[series(i)[,1],1,drop=FALSE])
checkIdentical(
as.matrix(ts[i[,1],1]),
mat[series(i)[,1],1,drop=FALSE])
# this should fail
checkException(ts[series(i), 2], silent = TRUE)
checkException(ts[i, 2], silent = TRUE)
checkException(ts[series(i), 1], silent = TRUE)
checkException(ts[series(i),1], silent = TRUE)
checkException(ts[i,1], silent = TRUE)
checkException(mat[series(i),1], silent = TRUE)
checkException(ts[series(i),], silent = TRUE)
checkException(mat[series(i),], silent = TRUE)
checkIdentical(
ts[series(i)],
mat[series(i)])
checkIdentical(
ts[i],
mat[series(i)])
# --------------------------------------------------------------------------
# $,timeSeries method
df <- as.data.frame(ts)
checkIdentical(
ts$TS.,
df$TS.)
checkIdentical(
ts$TS.1,
df$TS.1)
checkIdentical(
ts$a,
df$a)
colnames(ts) <- c("aa", "bb")
colnames(df) <- c("aa", "bb")
checkIdentical(
ts$a,
df$a)
checkIdentical(
ts$b,
df$b)
}
################################################################################
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