made equation changes (simplified) in docuemntation and vignette

R/polarity.R

@@ -91,21 +91,11 @@
 #' 
 #' \deqn{x_i^{A}=\sum{(w_{neg}\cdot x_i^{a})}}{x_i^A=\sum(w_neg * x_i^a)}
 #' 
-#' \deqn{x_{i}^D=\left\{\begin{array}{cc}
-#' x_{i}^{D'} & x_{i}^{D'} \geq  -1         \\ 
-#' -1 & x_{i}^{D'} < -1
-#' \end{array}\right.}{        (x_i^D'  x_i^D' >=  -1   
-#' x_i^D= ( 
-#'         (-1  x_i^D' < -1}
-#' 
-#' \deqn{x_i^{D'}=\sum{(- w_{neg}\cdot x_i^{a} + x_i^{d})}}{x_i^D'=\sum(- w_neg * x_i^a + x_i^d)}
-#' 
-#' \deqn{w_{neg}=\left\{\begin{array}{cc}
-#' 1 & \sum{x_i^{N}} \bmod {2} >0         \\ 
-#' 0 & \sum{x_i^{N}} \bmod {2} =0
-#' \end{array}\right.}{        (1  \sumx_i^N mod 2 > 0      
-#' w_neg= (      
-#'         (0  \sumx_i^N mod 2 = 0      } 
+#' \deqn{x_i^D = \max(x_i^{D'}, -1)}{x_i^D = max(x_i^D', -1)}
+#' 
+#' \deqn{x_i^{D'}= \sum{(- w_{neg}\cdot x_i^{a} + x_i^{d})}}{x_i^D'=\sum(- w_neg * x_i^a + x_i^d)}
+#' 
+#' \deqn{w_{neg}= \left(\sum{x_i^{N}}\right) \bmod {2}}{w_neg= (\sumx_i^N) mod 2}
 #'     
 #' @references Hu, M., & Liu, B. (2004). Mining opinion features in customer 
 #' reviews. National Conference on Artificial Intelligence. 

man/polarity.Rd

@@ -144,18 +144,13 @@ x_i^D)) * w(-1)^(\sumx_i^N))}
 \deqn{x_i^{A}=\sum{(w_{neg}\cdot
 x_i^{a})}}{x_i^A=\sum(w_neg * x_i^a)}
 
-\deqn{x_{i}^D=\left\{\begin{array}{cc} x_{i}^{D'} &
-x_{i}^{D'} \geq -1 \\ -1 & x_{i}^{D'} < -1
-\end{array}\right.}{ (x_i^D' x_i^D' >= -1 x_i^D= ( (-1
-x_i^D' < -1}
+\deqn{x_i^D = \max(x_i^{D'}, -1)}{x_i^D = max(x_i^D', -1)}
 
-\deqn{x_i^{D'}=\sum{(- w_{neg}\cdot x_i^{a} +
+\deqn{x_i^{D'}= \sum{(- w_{neg}\cdot x_i^{a} +
 x_i^{d})}}{x_i^D'=\sum(- w_neg * x_i^a + x_i^d)}
 
-\deqn{w_{neg}=\left\{\begin{array}{cc} 1 & \sum{x_i^{N}}
-\bmod {2} >0 \\ 0 & \sum{x_i^{N}} \bmod {2} =0
-\end{array}\right.}{ (1 \sumx_i^N mod 2 > 0 w_neg= ( (0
-\sumx_i^N mod 2 = 0 }
+\deqn{w_{neg}= \left(\sum{x_i^{N}}\right) \bmod {2}}{w_neg=
+(\sumx_i^N) mod 2}
 }
 \note{
 The polarity score is dependent upon the polarity

vignettes/qdap_vignette.Rmd

@@ -4125,21 +4125,15 @@ x_i^{A}=\sum{(w_{neg}\cdot x_i^{a})}
 $$
 <br>
 $$
-x_{i}^D=\left\{\begin{array}{cc}
- x_{i}^D & x_{i}^D \geq  -1         \\\\ 
- -1 & x_{i}^D < -1
- \end{array}\right.
+x_i^D = \max(x_i^{D'}, -1)
 $$ 
 <br>
 $$
-x_i^{D}=\sum{(- w_{neg}\cdot x_i^{a} + x_i^{d})}
+x_i^{D'}=\sum{(- w_{neg}\cdot x_i^{a} + x_i^{d})}
 $$ 
 <br>
 $$
-w_{neg}=\left\{\begin{array}{cc}
-1 & \sum{x_i^{N}}>0         \\\\ 
-0 & \sum{x_i^{N}}=0
-\end{array}\right.
+w_{neg}= \left(\sum{x_i^{N}}\right) \bmod {2}
 $$