Knitr providing different results than RStudio - r

Question

I'm doing some initial text mining using 'tm' and 'RWeka' using Knitr for reproducibility.
I'm trying to obtain a term-document matrix for a corpus based on two text files, and the process has different results when I run the code in RStudio and when I knit it into a HTML file:
... when I try other document outputs PDF and Word outputs:
agree with RStudio.
And, I need an HTML output....
Any idea of what may be going on?
Here it is the .Rmd code
---
title: "test"
author: "me"
output: word_document
---
```{r init, echo=FALSE, warning=FALSE, cache=TRUE, message=FALSE}
library(knitr)
library(tm)
library(SnowballC)
library(RWeka)
setwd("~")
options(mc.cores=1) # some problems with parallel processing
```
```{r 1-gram-test, echo=FALSE, eval=TRUE,cache=TRUE}
doc1 <- c("en un lugar de la mancha de cuyo nombre no quiero acordarme habitaba un hidalgo de los de adarga antigual, rocín flaco y galgo corredor")
doc2 <- c("había una vez un barquito chiquitito, que no sabía, que no sabía, que no sabía navegar... pasaron un dos tres cuatro cinco seis semanas y el barquito navegó.")
docs <- c(doc1, doc2)
es <- Corpus(VectorSource(docs),
readerControl = list(reader = readPlain,
language = "ES-es", load = TRUE))
es
# convert to plain text
es1 <- tm_map(es, PlainTextDocument)
monogramtok <- function(x) {
RWeka::NGramTokenizer(x, RWeka::Weka_control(min = 1, max = 1))
}
es_tdm1 <- TermDocumentMatrix(es1)
esmono_tdm1 <- TermDocumentMatrix(es1,
control = list(tokenize = monogramtok,
wordLengths = c(1, Inf))) #,
printf("es_tdm1")
es_tdm1
printf("esmono_tdm1")
esmono_tdm1
```
sessionInfo()
R version 3.2.3 (2015-12-10)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.11.4 (El Capitan)
locale:
[3] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[3] stats graphics grDevices utils datasets methods base
other attached packages:
[3] R.utils_2.2.0 R.oo_1.20.0 R.methodsS3_1.7.1 dplyr_0.4.3 xtable_1.8-0
[6] pander_0.6.0 RWeka_0.4-24 SnowballC_0.5.1 tm_0.6-2 NLP_0.1-9
[11] knitr_1.12.3

Answer 1

I had a similar problem, then realized I was caching my knitr chunks with the option cache=TRUE (as you seem to have set as well).
This can cause some really subtle errors if the cached chunks have side effects or depend on external resources.
When I disabled caching, my reproducibility issues disappeared.