diff --git a/vignettes/qdap_vignette.html b/vignettes/qdap_vignette.html index bf88529f..03bdb970 100644 --- a/vignettes/qdap_vignette.html +++ b/vignettes/qdap_vignette.html @@ -1360,15 +1360,15 @@

Dictionary/Lookup

hash_look(x, hashTab) -
##  [1] 16.30 22.40 16.30 19.70 16.30 25.34 15.00 15.79 22.40 19.70 22.40
-## [12] 16.30 25.34 15.00 15.00 16.30 19.70 25.34 19.70 22.40
+
##  [1] 25.34 19.70 25.34 15.79 25.34 15.00 15.00 19.70 15.79 19.70 15.00
+## [12] 16.30 19.70 22.40 25.34 22.40 19.70 19.70 15.00 15.79
 
x %ha% hashTab
 
-
##  [1] 16.30 22.40 16.30 19.70 16.30 25.34 15.00 15.79 22.40 19.70 22.40
-## [12] 16.30 25.34 15.00 15.00 16.30 19.70 25.34 19.70 22.40
+
##  [1] 25.34 19.70 25.34 15.79 25.34 15.00 15.00 19.70 15.79 19.70 15.00
+## [12] 16.30 19.70 22.40 25.34 22.40 19.70 19.70 15.00 15.79
 

Time Conversion

@@ -2443,7 +2443,7 @@

Stem Text

title.color = "blue", max.word.size = 5, title.padj = .7))
-

plot of chunk unnamed-chunk-28 plot of chunk unnamed-chunk-28

+

plot of chunk unnamed-chunk-28 plot of chunk unnamed-chunk-28

## stemmer EXAMPLE:
 stemmer(DATA$state)
@@ -3181,17 +3181,7 @@ 

Create Adjacency Matrix

Plotting an Adjacency Matrix: Example 1

library(igraph)
-
- -
## 
-## Attaching package: 'igraph'
-## 
-## The following object is masked from 'package:qdap':
-## 
-##     compare
-
- -
dat <- adjacency_matrix(wfm(DATA$state, DATA$person, stopword = Top25Words))
+dat <- adjacency_matrix(wfm(DATA$state, DATA$person, stopword = Top25Words))
 g <- graph.adjacency(dat$adjacency, weighted=TRUE, mode ="undirected")
 g <- simplify(g)
 V(g)$label <- V(g)$name
@@ -8325,7 +8315,7 @@ 

Polarity Score (Sentiment Analysis)

(POLENV <- polarity_frame(positive.words, negative.words))
 
-
<environment: 0x454c2628>
+
<environment: 0x4253b064>
 
ls(POLENV)[1:20]
diff --git a/vignettes/tm_package_compatibility.pdf b/vignettes/tm_package_compatibility.pdf
index 9abe626e..7c24c6f6 100644
Binary files a/vignettes/tm_package_compatibility.pdf and b/vignettes/tm_package_compatibility.pdf differ