is.pconsecutive.pseries (reference) in projects: dports

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Searched +refs:is +refs:pconsecutive +refs:pseries (Results 1 – 14 of 14) sorted by relevance

/dports/finance/R-cran-plm/plm/man/
H A D	is.pconsecutive.Rd	3 \name{is.pconsecutive} 4 \alias{is.pconsecutive} 5 \alias{is.pconsecutive.default} 7 \alias{is.pconsecutive.pseries} 12 is.pconsecutive(x, ...) 18 \method{is.pconsecutive}{pseries}(x, na.rm.tindex = FALSE, ...) 71 observations for an individuals in the (p)data.frame/pseries (it is not 72 about "neighbouring" rows). If the object to be evaluated is a pseries or a 75 \verb{as.numeric(as.character(index(<pseries/pdata.frame>)[[2]]))]} is 89 pdata.frame and pseries interface, ordering is not performed because both [all …]
H A D	make.pconsecutive.Rd	7 \alias{make.pconsecutive.pseries} 16 \method{make.pconsecutive}{pseries}(x, balanced = FALSE, ...) 20 or \code{pseries},} 36 pdata.frame, data.frame or a pseries which is made 61 pseries), this results in nrow(make.pconsecutive, balanced = FALSE) <= 87 is.pconsecutive(Grunfeld_missing_period) # check for consecutiveness 97 all(is.pconsecutive(Grunfeld_unbalanced)) # FALSE 101 all(is.pconsecutive(g_consec_bal)) # TRUE 107 all(is.pconsecutive(g_consec)) # TRUE 132 all(is.pconsecutive(g_bal)) # FALSE [all …]
H A D	make.pbalanced.Rd	6 \alias{make.pbalanced.pseries} 22 \method{make.pbalanced}{pseries}( 37 or \code{pseries};} 54 pdata.frame, data.frame or a pseries which is made balanced 87 \code{\link[=make.pconsecutive]{make.pconsecutive()}} (and, optionally, set argument 126 all(is.pconsecutive(Grunfeld_unbalanced)) # FALSE 145 # pseries interface 150 all(is.pconsecutive(g_consec)) # TRUE 157 all(is.pconsecutive(g_consec_bal)) # TRUE 168 \code{\link[=is.pconsecutive]{is.pconsecutive()}} to check if data are consecutive; [all …]
H A D	is.pbalanced.Rd	`3 \name{is.pbalanced} 4 \alias{is.pbalanced} 8 \alias{is.pbalanced.pseries} 10 \alias{is.pbalanced.pgmm} 13 is.pbalanced(x, ...) 21 \method{is.pbalanced}{pseries}(x, ...) 29 \code{pseries}, \code{panelmodel}, or \code{pgmm},} 73 # pseries interface 80 balanced; \code{\link[=is.pconsecutive]{is.pconsecutive()}} to check if data are 81 consecutive; \code{\link[=make.pconsecutive]{make.pconsecutive()}} to make data [all …]`
H A D	lag.plm.Rd	8 \alias{lag.pseries} 9 \alias{lead.pseries} 29 If \code{k} is an integer with length > 1 (\code{k = c(k1, k2, ...)}), a 30 \code{matrix} with multiple lagged \code{pseries} is returned,} 36 functions is performed (see Details and Examples).} 66 \ldots{} where t is an integer (from a technical viewpoint, 72 time index is not relevant in this case. 109 # delete 2nd time period for first individual (1978 is missing (not NA)): 111 is.pconsecutive(Em_hole) # check: non-consecutive for 1st individual now 123 individual, see \code{\link[=is.pconsecutive]{is.pconsecutive()}}. [all …]
H A D	pdata.frame.Rd	104 a \code{pdata.frame} object: this is a \code{data.frame} with an 107 resulting pdata.frame is sorted by the individual index, then 111 An object of class 'pdata.frame' is a data.frame with an index 120 a character string which is the name of the individual index 122 a new variable called "time" is added, assuming consecutive and 135 attribute \code{"pseries"} is added. The \code{"["} method behaves as for 148 attributes specific to a pdata.frame; if a list of pseries is 160 # Hedonic is an unbalanced panel, townid is the individual index 165 # individuals data set 'Wages' is organized as a stacked time 170 # lapply on a pdata.frame by making it a list of pseries first [all …]
/dports/finance/R-cran-plm/plm/inst/tests/
H A D	test_make.pconsecutive_pbalanced.Rout.save	21 > ## in separate file test_is.pconsecutive.R: test of is.pconsecutive.* 73 > # make.pconsecutive.indexes: pseries interface 131 + stop("failure for already consecutive pseries: result is not identical to input") 159 > if (!all(is.pconsecutive(make.pconsecutive(pinv_missing_periods)))) stop("failure") 287 > # pseries is consecutive but not balanced and balancedness requested 309 > # pseries is consecutive but not balanced and balancedness requested 345 > # pdata.frame and pseries: this is checking for new factor levels 400 > # if (!(all(is.pconsecutive(age_consec)))) stop("failure") 410 > # if (!all(is.pconsecutive(df_nlswork_r8_consec))) stop("failure") 431 > # if (!all(is.pconsecutive(pdf_pnlswork_r8_consec))) stop("failure") [all …]
H A D	test_misc.Rout.save	`599 > ## is.pconsecutive 600 > is.pconsecutive(Grunfeld) 603 > is.pconsecutive(Grunfeld, index=c("firm", "year")) 610 > is.pconsecutive(Grunfeld_missing_period) 625 > is.pconsecutive(Grunfeld_wo_1937) # all FALSE 632 > is.pconsecutive(pGrunfeld) # all TRUE 643 > is.pconsecutive(mod_pGrunfeld) 646 > is.pconsecutive(mod_pGrunfeld_missing_period) 659 > is.pconsecutive(pinv) 662 > is.pconsecutive(pinv_missing_period) [all …]`
H A D	test_is.pconsecutive.Rout.save	18 > # tests for is.pconsecutive 38 > is.pconsecutive(Grunfeld) 62 > is.pconsecutive(Grun_not_ordered) 110 > # test on pseries 114 > is.pconsecutive(pinv) 221 > # test on pseries 225 > if(!isTRUE(all.equal(is.pconsecutive(pmv), expected_Hed, check.names = FALSE))) stop("is.pconsecu… 226 …sTRUE(all.equal(is.pconsecutive(pmv_missing_period), expected_Hed_missing_period, check.names = FA… 242 > is.pconsecutive(pGasoline) 319 > if(!isTRUE(all.equal(is.pconsecutive(Grunfeld_NA_time), is.pconsecutive(pGrunfeld_NA_time)))) [all …]
H A D	test_lag_lead.Rout.save	321 > if(!isTRUE(all(is.na(plm:::lagr.pseries(Grunfeld$inv, 20))))) stop("all-NA case not correct") # 2… 322 > if(!isTRUE(all(is.na(plm:::lagr.pseries(Grunfeld$inv, 21))))) stop("all-NA case not correct") # 2… 323 > if(!isTRUE(all(is.na(plm:::leadr.pseries(Grunfeld$inv, 20))))) stop("all-NA case not correct") # … 324 > if(!isTRUE(all(is.na(plm:::leadr.pseries(Grunfeld$inv, 21))))) stop("all-NA case not correct") # … 939 > # Hedonic is an unbalanced panel, townid is the individual index 995 > is.pconsecutive(pGrunfeld_missing_period) 1036 > is.pconsecutive(Hed_missing_period) 1068 …head(test_Hed_miss_p_lag2 <- plm:::lagr.pseries(Hed_missing_period$age, 2), 20) # plm:::lagr.pseri… 1108 > is.pconsecutive(Hed_missing_period2) 1188 > # pnlswork_r8_consec <- make.pconsecutive(pnlswork_r8) [all …]
H A D	test_lagt_leadt.Rout.save	326 > if(!isTRUE(all(is.na(lag(Grunfeld$inv, 20))))) stop("all-NA case not correct") # 20 is no of obs … 328 > if(!isTRUE(all(is.na(lead(Grunfeld$inv, 20))))) stop("all-NA case not correct") # 20 is no of obs… 944 > # Hedonic is an unbalanced panel, townid is the individual index 998 > is.pconsecutive(pGrunfeld_missing_period) 1051 > is.pconsecutive(Hed_missing_period) 1138 > is.pconsecutive(Hed_missing_period2) 1226 > if (!isTRUE(identical(plm:::lagt.pseries(Grunfeld$inv, k = c(-3,-2,-1,0,1,2,3)), plm:::lagr.pseri… 1257 > # pnlswork_r8_consec <- make.pconsecutive(pnlswork_r8) 1258 > # pnlswork_r8_consec_bal <- make.pconsecutive(pnlswork_r8, balanced = TRUE) 1261 > # if (!all.equal(plm:::lagr.pseries(pnlswork_r8_consec$age), plm:::lagt.pseries(pnlswork_r8_conse… [all …]
/dports/finance/R-cran-plm/plm/
H A D	NAMESPACE	`61 S3method(is.pbalanced,pseries) 62 S3method(is.pconsecutive,data.frame) 63 S3method(is.pconsecutive,default) 64 S3method(is.pconsecutive,panelmodel) 65 S3method(is.pconsecutive,pdata.frame) 66 S3method(is.pconsecutive,pseries) 72 S3method(make.pconsecutive,data.frame) 74 S3method(make.pconsecutive,pseries) 207 export(is.pconsecutive) 208 export(is.pseries) [all …]`
H A D	MD5	17 acb15c196d8326325ac846681b81f7b5 R/is.pconsecutive_pbalanced.R 98 606a3dbf3841d5e81b1d90e8dcac9487 inst/tests/test_is.pconsecutive.R 99 922626f7fe969cd67e3ddaea87723d54 inst/tests/test_is.pconsecutive.Rout.save 199 508ec8bdb4a4014892fe9e15df9fca9c man/is.pbalanced.Rd 200 6a43dff7a1d779f31371e4c01a1f45fc man/is.pconsecutive.Rd 201 600395679fd85cc1d4abc7c74c54031b man/is.pseries.Rd 204 cfca1b7b1c1d671a33fec12cb9f5c556 man/make.pconsecutive.Rd 234 f9440ec632fda32bc4c73fac73f0bace man/pseries.Rd
H A D	NEWS.md	230 * Ops.pseries: use of is.vector() was too strict, now uses is.atomic() with 348 * make.pconsecutive for pseries: for consecutive pseries, the argument 359 performed on pseries, e.g., c("pseries", "integer") is propagated 392 * is.pseries: added function to check if an object qualifies as a pseries. 680 * make.pconsecutive: new function to make a (p)data.frame or pseries consecutive, meaning having co… 746 * is.pconsecutive: default method exported so it can be used for arbitrary vectors. 771 * is.pconsecutive: 1027 * an index method is added for panelmodel, pdata.frame and pseries. 1110 * lag.pseries is now able to deal with vector arguments for lags, 1159 * 'pserie' is renamed 'pseries'. [all …]