search for: ggvis

...y the density) of a variable, with a slider that displays a vertical line with the corresponding quantile of the distribution of the variable. That is, I what to interactivity pick for example, the median, and have the vertical line move to the corresponding value. Is this possible to implement in ggvis? I read this comment from Hadley that says vertical lines are not implemented in ggvis (at least as of last year). https://groups.google.com/forum/#!topic/ggvis/VpUYCvhbfX8 Any guidance would be greatly appreciated. Best, Lars. [[alternative HTML version deleted]]

...on implemented in Debian: liviu at debian-liv:~$ locate /usr/lib/ggobi/plugins /usr/lib/ggobi/plugins /usr/lib/ggobi/plugins/DataViewer /usr/lib/ggobi/plugins/DescribeDisplay /usr/lib/ggobi/plugins/GraphAction /usr/lib/ggobi/plugins/GraphLayout /usr/lib/ggobi/plugins/VarCloud /usr/lib/ggobi/plugins/ggvis /usr/lib/ggobi/plugins/DataViewer/plugin.so /usr/lib/ggobi/plugins/DataViewer/plugin.so.0 /usr/lib/ggobi/plugins/DataViewer/plugin.so.0.0.0 /usr/lib/ggobi/plugins/DescribeDisplay/plugin.so /usr/lib/ggobi/plugins/DescribeDisplay/plugin.so.0 /usr/lib/ggobi/plugins/DescribeDisplay/plugin.so.0.0.0 /usr...

Hi, I have tried to develop multidimensional scaling for 3D space using PCA without success, yet;-) Is there some application ready in R? Cheers, Atte

...rence, and then ask a few questions at the bottom. `:=` has been used by data table for a very long time and more recently by tidyverse packages through rlang package, in both cases to parse expressions (it's also defined and exported by data.table but just to trigger an error). It was used in ggvis too, and I have myself designed the package dotdot that defines it. I'm note aware of other uses in packages though it pops up from time to time in Stack Overflow 's Q&A. It has the same precedence as `<-`. It is used by data.table and tidyverse to provide key / value pairs to func...

...how.R:88 /crunch/R/subvariables.R:76 /crunch/R/subvariables.R:95 /dplR/R/common.interval.R:8 /dplR/R/fill.internal.NA.R:47 /dplR/R/helpers.R:3 /dplyr/R/dataframe.R:49 /dplyr/R/glimpse.R:38 /dplyr/R/id.r:36 /dplyr/R/tbl-cube.r:98 /dplyr/R/utils.r:15 /fulltext/R/chunks.R:352 /fulltext/R/chunks.R:356 /ggvis/R/transform.R:56 /httr/R/oauth-token-utils.R:23 /igraph/R/lazyeval.R:219 /jsonlite/R/asJSON.data.frame.R:74 /jsonlite/R/deparse_vector.R:26 /jsonlite/R/simplifyDataFrame.R:14 /jsonlite/R/unescape_unicode.R:10 /knitr/R/utils.R:207 /knitrBootstrap/R/knit_bootstrap.R:303 /lazyeval/R/names.R:27 /learni...

Dear useRs, last week I asked you about a problem related to isoMDS. It turned out that in my case isoMDS was trapped. Nonetheless, I still have some problems with other data sets. Therefore I would like to know if anyone here has experience with how well isoMDS performs in comparison to other non-metric MDS routines, like Minissa. I have the feeling that for large data sets with a high

Hi, Both vapply() and sapply() support the 'USE.NAMES' argument. According to the man page: USE.NAMES: logical; if ?TRUE? and if ?X? is character, use ?X? as ?names? for the result unless it had names already. But if 'X' has names already and 'USE.NAMES' is FALSE, it's not clear what will happen to the names. Are they going to propagate to the result