| /dports/devel/R-cran-tidyr/tidyr/inst/doc/ |
| H A D | tidy-data.R | 19 pivot_longer(quiz1:test1, names_to = "assessment", values_to = "grade") %>%
28 pivot_longer(-religion, names_to = "income", values_to = "frequency")
38 values_to = "rank",
67 values_to = "n",
82 values_to = "n",
96 values_to = "value",
|
| H A D | pivot.R | 18 pivot_longer(!religion, names_to = "income", values_to = "count")
28 values_to = "rank",
61 values_to = "count"
135 df %>% pivot_longer(!id, names_to = "name", values_to = "value")
236 pivot_longer(`2000`:`2017`, names_to = "year", values_to = "value")
279 values_to = "count"
|
| H A D | pivot.Rmd | 73 pivot_longer(!religion, names_to = "income", values_to = "count")
84 * The `values_to` gives the name of the variable that will be created from
87 Neither the `names_to` nor the `values_to` column exists in `relig_income`, so we provide them as c…
104 values_to = "rank",
118 values_to = "rank",
131 values_to = "rank",
163 values_to = "count"
182 values_to = "count",
269 df %>% pivot_longer(!id, names_to = "name", values_to = "value")
448 pivot_longer(`2000`:`2017`, names_to = "year", values_to = "value")
[all …]
|
| /dports/devel/R-cran-tidyr/tidyr/R/ |
| H A D | pivot-long.R | 119 values_to = "value", argument
140 values_to = "value", argument
149 values_to = values_to,
267 values_to = "value", argument
312 values_to <- NULL
314 vec_assert(values_to, ptype = character(), size = 1)
331 out[[".value"]] <- values_to
|
| H A D | rectangle.R | 198 values_to = NULL, argument
210 values_to <- values_to %||% col
220 values_to = values_to,
444 vec_to_long <- function(x, col, values_to, indices_to, indices_include = NULL) { argument
455 !!values_to := x,
459 tibble(!!values_to := x)
|
| /dports/graphics/py-traitsui/traitsui-7.1.1/traitsui/qt4/ |
| H A D | set_editor.py | 312 def _transfer_all(self, list_from, list_to, values_from, values_to): argument
316 values_to = values_to[:]
326 values_to.append(values_from[0])
333 return (values_from, values_to)
335 def _transfer_items(self, list_from, list_to, values_from, values_to): argument
339 values_to = values_to[:]
362 values_to.insert(index_to, values_from[val_index_from])
384 return (values_from, values_to)
|
| /dports/graphics/py-traitsui/traitsui-7.1.1/traitsui/wx/ |
| H A D | set_editor.py | 357 def _transfer_all(self, list_from, list_to, values_from, values_to): argument
361 values_to = values_to[:]
371 values_to.append(values_from[0])
378 return (values_from, values_to)
380 def _transfer_items(self, list_from, list_to, values_from, values_to): argument
384 values_to = values_to[:]
406 values_to.insert(index_to, values_from[val_index_from])
423 return (values_from, values_to)
|
| /dports/devel/R-cran-broom/broom/R/ |
| H A D | quantreg-rqs-tidiers.R | 72 values_to = ".resid"
80 values_to = ".fitted"
91 values_to = ".fitted"
|
| H A D | list-svd-tidiers.R | 57 values_to = "value"
78 values_to = "value"
|
| H A D | glmnet-glmnet-tidiers.R | 78 values_to = "estimate"
89 values_to = "estimate"
|
| H A D | lmodel2-tidiers.R | 63 values_to = "estimate"
72 values_to = "value"
|
| H A D | margins-tidiers.R | 83 … tidyr::pivot_longer(., dplyr::all_of(at_vars), names_to = "at.variable", values_to = "at.value"), functionVar
89 … tidyr::pivot_longer(dplyr::all_of(at_vars), names_to = "at.variable", values_to = "at.value") functionVar
|
| H A D | stats-prcomp-tidiers.R | 117 values_to = "value") functionVar
124 values_to = "value")
|
| H A D | hmisc-tidiers.R | 60 values_to = "estimate"
|
| H A D | zoo-tidiers.R | 52 values_to = "value"
|
| H A D | ks-tidiers.R | 71 values_to = "value"
|
| H A D | stats-time-series-tidiers.R | 37 values_to = "value"
|
| H A D | mass-ridgelm-tidiers.R | 66 values_to = "estimate"
|
| /dports/devel/R-cran-tidyr/tidyr/man/ |
| H A D | pivot_longer.Rd | 17 values_to = "value",
39 column containing the cell values, overriding \code{values_to}.
73 be character, and the type of the variables generated from \code{values_to}
82 \item{values_to}{A string specifying the name of the column to create
114 pivot_longer(!religion, names_to = "income", values_to = "count")
124 values_to = "rank",
133 values_to = "count"
|
| H A D | pivot_longer_spec.Rd | 21 values_to = "value",
68 be character, and the type of the variables generated from \code{values_to}
83 column containing the cell values, overriding \code{values_to}.
86 \item{values_to}{A string specifying the name of the column to create
137 be character, and the type of the variables generated from \code{values_to}
152 values_to = "count"
162 values_to = "count")
|
| /dports/games/supertuxkart/SuperTuxKart-1.2-src/src/scriptengine/ |
| H A D | property_animator.cpp | 24 int values_count, double* values_from, double* values_to, in AnimatedProperty() argument
32 m_values_to = values_to; in AnimatedProperty()
|
| H A D | property_animator.hpp | 45 double* values_from, double* values_to,
|
| /dports/www/py-weboob/weboob-2.0/weboob/applications/boobcoming/ |
| H A D | boobcoming.py | 231 def select_values(self, values_from, values_to, query_str): argument
238 'x' if value in values_to else ' ',
248 if value in values_to:
249 values_to.remove(value)
251 values_to.append(value)
|
| /dports/devel/R-cran-tidyr/tidyr/vignettes/ |
| H A D | pivot.Rmd | 73 pivot_longer(!religion, names_to = "income", values_to = "count")
84 * The `values_to` gives the name of the variable that will be created from
87 Neither the `names_to` nor the `values_to` column exists in `relig_income`, so we provide them as c…
104 values_to = "rank",
118 values_to = "rank",
131 values_to = "rank",
163 values_to = "count"
182 values_to = "count",
269 df %>% pivot_longer(!id, names_to = "name", values_to = "value")
448 pivot_longer(`2000`:`2017`, names_to = "year", values_to = "value")
[all …]
|
| /dports/textproc/R-cran-vroom/vroom/inst/bench/ |
| H A D | summarise-benchmarks.R | 25 pivot_longer(., cols = c(process, real), names_to = "type", values_to = "time") %>% nameattr
|