update version (and use nicer minimal example)

Author: JackEdTaylor

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: LexOPS
 Title: A Package and Shiny App for Generating Matched Stimuli
-Version: 0.2.3.9002
+Version: 0.2.4
 Date: 2020-09-07
 Authors@R: 
     c(

README.Rmd

@@ -18,7 +18,7 @@ library(LexOPS)
 
 <!-- badges: start -->
 [![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://www.tidyverse.org/lifecycle/#stable)
-[![Version: 0.2.3](https://img.shields.io/badge/version-0.2.3-blue.svg)](https://github.com/JackEdTaylor/LexOPS/releases)
+[![Version: 0.2.4](https://img.shields.io/badge/version-0.2.4-blue.svg)](https://github.com/JackEdTaylor/LexOPS/releases)
 [![DOI: 10.3758/s13428-020-01389-1](https://zenodo.org/badge/DOI/10.3758/s13428-020-01389-1.svg)](https://doi.org/10.3758/s13428-020-01389-1)
 <!-- badges: end -->
 
@@ -45,7 +45,7 @@ LexOPS makes it easy to generate matched stimuli in a reproducible way.
 
 ### The "Generate Pipeline"
 
-The following example pipeline generates 50 words (all nouns) per condition (200 words in total), for a study with a 2 x 2, concreteness (low, high) by bigram probability (low, high) experimental design. Words are controlled for by length exactly, and by word frequency within a tolerance of ±0.2 Zipf.
+The following example pipeline generates 50 words per condition (200 in total), for a study with a 2 x 2, syllables (1, 2) by concreteness (low, high) design. Words are matched by length exactly, and by word frequency within a tolerance of ±0.2 Zipf.
 
 ```{r, include=FALSE}
 set.seed(99)
@@ -54,10 +54,8 @@ set.seed(99)
 ```{r, eval = FALSE}
 library(LexOPS)
 
-# generate stimuli
 stim <- lexops %>%
-  subset(PoS.SUBTLEX_UK == "noun") %>%
-  split_by(BG.SUBTLEX_UK, 0.001:0.004 ~ 0.008:0.011) %>%
+  split_by(Syllables.eSpeak.br, 1:1 ~ 2:2) %>%
   split_by(CNC.Brysbaert, 1:2 ~ 4:5) %>%
   control_for(Zipf.SUBTLEX_UK, -0.2:0.2) %>%
   control_for(Length) %>%
@@ -67,8 +65,8 @@ stim <- lexops %>%
 ```{r, warning = FALSE, echo = FALSE}
 cat(sprintf("\n"))  # space between code and console output
 stim <- lexops %>%
-  subset(PoS.SUBTLEX_UK == "noun") %>%
-  split_by(BG.SUBTLEX_UK, 0.001:0.004 ~ 0.008:0.011) %>%
+  subset(PK.Brysbaert >= 0.75) %>%
+  split_by(Syllables.CMU, 1:1 ~ 2:2) %>%
   split_by(CNC.Brysbaert, 1:2 ~ 4:5) %>%
   control_for(Zipf.SUBTLEX_UK, -0.2:0.2) %>%
   control_for(Length) %>%