/dports/devel/RStudio/rstudio-2021.09.1-372/dependencies/common/rmarkdown/R/ |
H A D | util.R | 95 names(res) <- mark_utf8(names(res)) 181 names(hook_list) <- hook_names 358 aux <- c( vector 362 if (keep_log) aux <- setdiff(aux, 'log') 401 x <- readLines(aux) 410 tweak_aux <- function(aux, x = readLines(aux)) { argument 414 writeLines(x, aux) 531 result <- join(names(data), quoted, sep = "=", collapse = " ") 557 joined <- join(names(data), collapsed, sep = ": ", collapse = "; ") 571 names(result) <- names(data[[1]]) [all …]
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/dports/math/R-cran-MSwM/MSwM/R/ |
H A D | 2MSM.r | 196 data=list(call) 218 call=data[[1]] 243 object=update(formula=as.formula(paste("~.+",aux,sep="")),data=data.frame(object$model,Ar),object) 261 names(Coef)=names(coef(object)) 310 object=update(formula=as.formula(paste("~.+",aux,sep="")),data=data.frame(object$model,Ar),object) 322 names(Coef)=names(coef(object)) 606 legend(dim(data)[1]*0.5,min(data)-0.1*abs(min(data)),legend=text,cex=0.8,col=col,lty=1,ncol=2) 915 aux=names(object["Coef"]) functionVar 935 aux=names(object["Coef"]) functionVar 1168 names(object@Coef)=names(co) [all …]
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/dports/devel/R-cran-Hmisc/Hmisc/R/ |
H A D | biVar.s | 7 nam <- names(x); yname <- nam[1] 13 statnames <- statinfo$names 65 aux <- info$aux 67 if(!length(auxlabel)) auxlabel <- aux 69 i <- match(what, info$names) 82 if(length(aux)) { 88 names(stat) <- ifelse(xlabel=='', names(stat), xlabel) 125 biVar(formula, statinfo=statinfo, data=data, subset=subset, 172 x <- model.matrix(~x, data=data.frame(x)) 217 biVar(formula, statinfo=statinfo, data=data, subset=subset, [all …]
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/dports/devel/py-ioflo/ioflo-2.0.0/ioflo/base/ |
H A D | framing.py | 266 for tag, data in self.moots.items(): 269 schedule = data['schedule'] 270 human = data['human'] 271 count = data['count'] 272 inode = data['inode'] 273 insular = data['insular'] 1273 names = [] 1280 names.reverse() 1283 names = [] 1300 names = [] [all …]
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/dports/biology/sra-tools/sra-tools-2.11.0/ncbi-vdb/test/install/ |
H A D | default.kfg.2.7.0 | 14 # and reliability of the software and data, the NLM and the U.S. 16 # may be obtained by using this software or data. The NLM and the U.S. 41 /repository/remote/main/CGI/resolver-cgi = "http://www.ncbi.nlm.nih.gov/Traces/names/names.cgi" 42 /repository/remote/aux/NCBI/apps/nakmer/volumes/fuseNAKMER = "sadb" 43 /repository/remote/aux/NCBI/apps/nannot/volumes/fuseNANNOT = "sadb" 44 /repository/remote/aux/NCBI/apps/refseq/volumes/refseq = "refseq" 45 /repository/remote/aux/NCBI/apps/sra/volumes/flat = "srapub" 46 /repository/remote/aux/NCBI/apps/wgs/volumes/fuseWGS = "wgs" 47 /repository/remote/aux/NCBI/root = "http://sra-download.ncbi.nlm.nih.gov" 50 /repository/remote/protected/CGI/resolver-cgi = "http://www.ncbi.nlm.nih.gov/Traces/names/names.cgi"
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/dports/biology/sra-tools/sra-tools-2.11.0/test/install/ |
H A D | default.kfg.2.8.1 | 14 # and reliability of the software and data, the NLM and the U.S. 16 # may be obtained by using this software or data. The NLM and the U.S. 41 /repository/remote/main/CGI/resolver-cgi = "http://www.ncbi.nlm.nih.gov/Traces/names/names.cgi" 42 /repository/remote/aux/NCBI/apps/nakmer/volumes/fuseNAKMER = "sadb" 43 /repository/remote/aux/NCBI/apps/nannot/volumes/fuseNANNOT = "sadb" 44 /repository/remote/aux/NCBI/apps/refseq/volumes/refseq = "refseq" 45 /repository/remote/aux/NCBI/apps/sra/volumes/flat = "srapub" 46 /repository/remote/aux/NCBI/apps/wgs/volumes/fuseWGS = "wgs" 47 /repository/remote/aux/NCBI/root = "http://sra-download.ncbi.nlm.nih.gov" 50 /repository/remote/protected/CGI/resolver-cgi = "http://www.ncbi.nlm.nih.gov/Traces/names/names.cgi"
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/dports/biology/ncbi-vdb/ncbi-vdb-2.11.0/test/install/ |
H A D | default.kfg.2.7.0 | 14 # and reliability of the software and data, the NLM and the U.S. 16 # may be obtained by using this software or data. The NLM and the U.S. 41 /repository/remote/main/CGI/resolver-cgi = "http://www.ncbi.nlm.nih.gov/Traces/names/names.cgi" 42 /repository/remote/aux/NCBI/apps/nakmer/volumes/fuseNAKMER = "sadb" 43 /repository/remote/aux/NCBI/apps/nannot/volumes/fuseNANNOT = "sadb" 44 /repository/remote/aux/NCBI/apps/refseq/volumes/refseq = "refseq" 45 /repository/remote/aux/NCBI/apps/sra/volumes/flat = "srapub" 46 /repository/remote/aux/NCBI/apps/wgs/volumes/fuseWGS = "wgs" 47 /repository/remote/aux/NCBI/root = "http://sra-download.ncbi.nlm.nih.gov" 50 /repository/remote/protected/CGI/resolver-cgi = "http://www.ncbi.nlm.nih.gov/Traces/names/names.cgi"
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/dports/finance/R-cran-lmtest/lmtest/R/ |
H A D | bptest.R | 2 data = list()) argument 14 else model.matrix(varformula, data = data) 16 mf <- model.frame(formula, data = data) 18 X <- model.matrix(formula, data = data) 20 else model.matrix(varformula, data = data) 43 aux <- lm.fit(Z, w) functionVar 44 bp <- n * sum(aux$fitted.values^2)/sum(w^2) 50 aux <- lm.fit(Z, f) 51 bp <- 0.5 * sum(aux$fitted.values^2) 55 names(bp) <- "BP" [all …]
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/dports/math/R-cran-memisc/memisc/R/ |
H A D | import-internal-spss-sysfile.R | 21 names(ans) <- sapply(ans,function(x)x$name) 72 aux <- spss.readaux(file) functionVar 73 auxtype <- aux$type 74 aux <- list(aux$data) 75 names(aux) <- auxtype 76 auxiliaries <- c(auxiliaries,aux) 107 structure(lvn[2],names=lvn[1])) 108 ii <- match(names(longVariableNames),names(variables)) 109 names(variables)[ii] <- unname(longVariableNames) 118 names(missings$ranges) <- names(missings$values) [all …]
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/dports/textproc/R-cran-R2HTML/R2HTML/R/ |
H A D | HTMLlme.R | 44 header["Data"]= deparse(x$call$data) 58 aux <- rep(names(Ngrps), sNgrps) functionVar 59 aux <- split(aux, array(rep(sNgrps, lNgrps), c(lNgrps, 61 names(Ngrps) <- unlist(lapply(aux, paste, collapse = " in ")) 121 if (is.null(namx <- names(x))) 122 names(x) <- nobj:1 123 aux <- t(array(rep(names(x), nobj), c(nobj, nobj))) functionVar 124 aux[lower.tri(aux)] <- "" 126 names(x) <- rev(apply(aux, 1, function(x) paste(x[x != 132 Level <- names(x)[i] [all …]
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/dports/math/py-numpy/numpy-1.20.3/numpy/lib/ |
H A D | recfunctions.py | 655 def _append_fields_dispatcher(base, names, data, dtypes=None, argument 662 def append_fields(base, names, data, dtypes=None, argument 694 if len(names) != len(data): 703 data = [a.view([(name, a.dtype)]) for (name, a) in zip(names, data)] 714 for (a, n, d) in zip(data, names, dtypes)] 738 def rec_append_fields(base, names, data, dtypes=None): argument 768 return append_fields(base, names, data=data, dtypes=dtypes, 1488 aux = ma.concatenate((r1k, r2k)) 1489 idx_sort = aux.argsort(order=key) 1490 aux = aux[idx_sort] [all …]
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/dports/math/R-cran-quantreg/quantreg/R/ |
H A D | nlrq.R | 28 for (i in names(data)) { 33 for (i in names(ind)) { 48 names(ind), env) 93 for (i in names(ind)) { 170 pnames <- names(attr(data, "parameters")) 184 }, data, length(eval(formula[[2]], data))) 255 nlrq.out <- list(m=nlrq.calc(m, ctrl, trace), data=substitute(data), nameattr 331 if (!is.null(aux <- attr(object, "units")$y)) { functionVar 332 lab <- paste(lab, aux) 359 if (!is.null(aux <- attr(object, "units")$y)) { functionVar [all …]
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/dports/net-im/coccinella/Coccinella-0.96.20Src/contrib/tablelist/scripts/ |
H A D | tablelistUtil.tcl | 360 set data(-stretch) [lsort -integer [array names tmp]] 386 foreach name [array names data $col-*] { 393 foreach name [array names data k*,$col-*] { 446 foreach newName [array names newArr $newCol-*] { 449 foreach oldName [array names oldArr $oldCol-*] { 473 foreach newName [array names newArr k*,$newCol-*] { 476 foreach oldName [array names oldArr k*,$oldCol-*] { 2666 set tagNames [$w tag names $textIdx] 2858 foreach path [$w window names] { 2870 foreach path [array names widgets] { [all …]
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H A D | tablelistConfig.tcl | 985 if {[lsearch -exact [$w tag names $tabIdx1] select] 1484 if {[lsearch -exact [$w tag names $tabIdx1] select] 1743 if {[lsearch -exact [$w tag names $textIdx1] select] 2358 if {[lsearch -exact [$w tag names $tabIdx1] select] < 0} { 2659 set aux [lreplace $aux end end $auxWidth] 2663 $aux $auxType $alignment 2735 if {[lsearch -exact [$w tag names $tabIdx1] select] >= 0} { 3002 set aux $w.f$key,$col 3010 destroy $aux 3021 bindtags $aux [lreplace [bindtags $aux] 1 1 \ [all …]
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/dports/www/getleft/Getleft-v1.2/scripts/tablelist4.8/scripts/ |
H A D | tablelistUtil.tcl | 360 set data(-stretch) [lsort -integer [array names tmp]] 386 foreach name [array names data $col-*] { 393 foreach name [array names data k*,$col-*] { 446 foreach newName [array names newArr $newCol-*] { 449 foreach oldName [array names oldArr $oldCol-*] { 473 foreach newName [array names newArr k*,$newCol-*] { 476 foreach oldName [array names oldArr k*,$oldCol-*] { 2556 set tagNames [$w tag names $textIdx] 2748 foreach path [$w window names] { 2760 foreach path [array names widgets] { [all …]
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H A D | tablelistConfig.tcl | 985 if {[lsearch -exact [$w tag names $tabIdx1] select] 1483 if {[lsearch -exact [$w tag names $tabIdx1] select] 1742 if {[lsearch -exact [$w tag names $textIdx1] select] 2330 if {[lsearch -exact [$w tag names $tabIdx1] select] < 0} { 2603 set aux [lreplace $aux end end $auxWidth] 2607 $aux $auxType $alignment 2679 if {[lsearch -exact [$w tag names $tabIdx1] select] >= 0} { 2850 set aux $w.f$key,$col 2858 destroy $aux 2874 $aux configure -height $data($key,$col-reqHeight) [all …]
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/dports/www/tikiwiki/tiki-21.2/lib/comments/ |
H A D | commentslib.php | 300 $names = explode('=', $names[1]); 301 $aux['name'] = $names[1]; 320 $names = explode('=', $names[1]); 321 $aux['name'] = $names[1]; 334 $names = explode('=', $names[1]); 335 $aux['name'] = $names[1]; 337 $aux['part'] = $i; 383 if (isset($aux['X-Tiki']) && $aux['X-Tiki'] == 'yes') { 391 if ($aux == false) { 398 $aux['From'] = $aux['Return-path']; [all …]
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/dports/finance/R-cran-plm/plm/man/ |
H A D | phtest.Rd | 13 data, 15 method = c("chisq", "aux"), 31 \item{data}{a \code{data.frame},} 33 \item{model}{a character vector containing the names of two models 36 \item{method}{one of \code{"chisq"} or \code{"aux"},} 57 test based on a quadratic form; if \code{method="aux"} then the 76 data("Gasoline", package = "plm") 81 phtest(form, data = Gasoline) 82 phtest(form, data = Gasoline, method = "aux") 85 phtest(form, data = Gasoline, method = "aux", vcov = vcovHC) [all …]
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/tests/python/unittest/ |
H A D | test_subgraph.py | 51 def create_weights(shapes, names): argument 54 assert len(shapes) == len(names) 56 sym_dict[names[i]] = mx.symbol.Variable(names[i]) 57 nd_dict[names[i]] = mx.nd.array(np.ones(shapes[i]), ctx=default_context()) 90 conv1 = mx.symbol.Convolution(data=data, kernel=(3, 3), num_filter=16, no_bias=True) 92 conv2 = mx.symbol.Convolution(data=data, kernel=(3, 3), num_filter=16, no_bias=True) 103 data = mx.nd.random.normal(shape=s) 104 out = model(data) 142 def forward(self, is_train, req, in_data, out_data, aux): argument 145 def backward(self, req, out_grad, in_data, out_data, in_grad, aux): argument [all …]
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/dports/misc/mxnet/incubator-mxnet-1.9.0/tests/python/unittest/ |
H A D | test_subgraph.py | 51 def create_weights(shapes, names): argument 54 assert len(shapes) == len(names) 56 sym_dict[names[i]] = mx.symbol.Variable(names[i]) 57 nd_dict[names[i]] = mx.nd.array(np.ones(shapes[i]), ctx=default_context()) 90 conv1 = mx.symbol.Convolution(data=data, kernel=(3, 3), num_filter=16, no_bias=True) 92 conv2 = mx.symbol.Convolution(data=data, kernel=(3, 3), num_filter=16, no_bias=True) 103 data = mx.nd.random.normal(shape=s) 104 out = model(data) 142 def forward(self, is_train, req, in_data, out_data, aux): argument 145 def backward(self, req, out_grad, in_data, out_data, in_grad, aux): argument [all …]
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/dports/lang/racket/racket-8.3/share/pkgs/htdp-lib/lang/private/ |
H A D | create-htdp-executable.rkt | 15 #:aux '((embed-dlls? . #t)) 36 (define-values (snip-class-names data-class-names) 38 (define used-mods (append snip-class-names data-class-names)) 68 (let ([ok-to-compile-names 75 (let-values ([(snip-class-names data-class-names) 78 (λ (used-name) (member used-name ok-to-compile-names)) 79 snip-class-names) 81 (λ (used-name) (member used-name ok-to-compile-names)) 82 data-class-names)))))))))
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/dports/comms/pyla/pyla/winldap/ldap/schema/ |
H A D | models.py | 120 self.names = d['NAME'] 207 self.names = d['NAME'] 322 self.names = d['NAME'] 361 self.names = d['NAME'] 408 self.aux = d['AUX'] 415 assert type(self.aux)==TupleType 426 result.append(self.key_list('AUX',self.aux,sep=' $ ')) 569 return self.data[self._at2key(nameoroid)] 574 self.data[k] = attr_values 578 del self.data[k] [all …]
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/dports/math/R-cran-VGAM/VGAM/man/ |
H A D | auxposbernoulli.t.Rd | 1 \name{aux.posbernoulli.t} 2 \alias{aux.posbernoulli.t} 13 aux.posbernoulli.t(y, check.y = FALSE, rename = TRUE, name = "bei") 30 If \code{FALSE} then use the same column names as \code{y}. 84 % obtained by \code{\link{aux.posbernoulli.t}}. See 104 # Fit a M_tbh model to the deermice data: 105 (pdata <- aux.posbernoulli.t(with(deermice, cbind(y1, y2, y3, y4, y5, y6)))) 107 deermice <- data.frame(deermice,
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/dports/misc/mxnet/incubator-mxnet-1.9.0/docs/static_site/src/pages/api/r/docs/tutorials/ |
H A D | char_rnn_model.md | 46 Download the data: 72 } else char_keep <- names(dic)[!dic == 0] 79 names(dic) <- char_keep 82 rev_dic <- names(dic) 83 names(rev_dic) <- dic 122 eval_buckets <- list("100" = list(data = X.val.data, label = X.val.label)) 204 train.data = train.data, eval.data = eval.data, 279 infer <- mx.infer.rnn.one(infer.data = infer.data, 282 aux.params = model$aux.params, 296 infer <- mx.infer.rnn.one(infer.data = infer.data, [all …]
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/docs/static_site/src/pages/api/r/docs/tutorials/ |
H A D | char_rnn_model.md | 46 Download the data: 72 } else char_keep <- names(dic)[!dic == 0] 79 names(dic) <- char_keep 82 rev_dic <- names(dic) 83 names(rev_dic) <- dic 122 eval_buckets <- list("100" = list(data = X.val.data, label = X.val.label)) 204 train.data = train.data, eval.data = eval.data, 279 infer <- mx.infer.rnn.one(infer.data = infer.data, 282 aux.params = model$aux.params, 296 infer <- mx.infer.rnn.one(infer.data = infer.data, [all …]
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