From 79f0fa6671d4c209d5ec2307c057a5672d3b35c4 Mon Sep 17 00:00:00 2001 From: "Anonymous@example.com" Date: Fri, 23 Jan 2015 09:56:38 -0600 Subject: [PATCH] fix spelling; cran comments --- DESCRIPTION | 2 +- cran-comments.md | 25 +------------------------ 2 files changed, 2 insertions(+), 25 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 497c223..5ac8041 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -6,7 +6,7 @@ Authors@R: c(person("Carson", "Sievert", role = c("aut", "cre"), email = email = "kshirley@research.att.com")) Description: Tools to create an interactive web-based visualization of a topic model that has been fit to a corpus of text data using - Latent Dirichlet Allocation (LDA). Given the estimated paramters of + Latent Dirichlet Allocation (LDA). Given the estimated parameters of the topic model, it computes various summary statistics as input to an interactive visualization built with D3.js that is accessed via a browser. The goal is to help users interpret the topics in their diff --git a/cran-comments.md b/cran-comments.md index aec4b47..d32f2d7 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -3,27 +3,4 @@ * win-builder (devel and release) ## R CMD check results -There were no ERRORs or WARNINGs. - -There was 1 NOTE: - -* checking installed package - size ... NOTE - installed size is 5.6Mb - - sub-directories of 1Mb or more: - data - 5.1Mb - -The files in data/ are output from LDA - models applied to several popular data-sets in the - text mining community. We use this output to teach - users how to go from their fitted model to a - corresponding visualization created with LDAvis as - well as to provide interesting - examples. - -http://cpsievert.github.io/LDAvis/newsgroup/newsgroup.html -http://cpsievert.github.io/LDAvis/reviews/reviews.html -http://cpsievert.github.io/LDAvis/Jeopardy/vis -http://cpsievert.github.io/LDAvis/AP/vis +There were no ERRORs, WARNINGs or NOTEs.