我正在使用Rapidminer,在 Wordlist to Data 运算符之后,我想使用下面的脚本创建一个带有执行R 的文字云。我得到R执行失败:“没有适用于'TermDoumentMatrix'的方法应用于类\”c('data.table',data.frame')\“的对象。
数据表有一列单词,一列文档出现以及一列单词出现。
有人可以建议我如何解决错误吗?
rm_main = function(data)
{
wordcloud::wordcloud(data, scale=c(5,0.5), max.words=100, random.order=FALSE,
rot.per=0.35, use.r.layout=FALSE, colors="Dark2")
}
答案 0 :(得分:2)
将整个数据框data
作为第一个参数传递给wordcloud
不起作用。 (实际上它可以工作,如果它是termDocumentMatrix
类型的对象,它是R&#39 tm
包的一部分,但那是另一个故事;但是这个' ■错误消息的含义。)在RapidMiner中,您必须分别将单词及其频率指定为第1和第2参数。
所以你可以使用像
这样的东西rm_main = function(data)
{
windows() # on MS Windows systems
wordcloud::wordcloud(data$word, data$total, min.freq = 1)
Sys.sleep(5)
}
这是一个示例流程,它创建一个词云,将其保存到" c:\ mywordcloud.pdf"并使用与.pdf文件关联的默认应用程序(在Windows上)打开它:
<?xml version="1.0" encoding="UTF-8"?><process version="7.3.000">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="7.3.000" expanded="true" name="Process">
<parameter key="logverbosity" value="init"/>
<parameter key="random_seed" value="2001"/>
<parameter key="send_mail" value="never"/>
<parameter key="notification_email" value=""/>
<parameter key="process_duration_for_mail" value="30"/>
<parameter key="encoding" value="SYSTEM"/>
<process expanded="true">
<operator activated="true" class="text:create_document" compatibility="7.3.000" expanded="true" height="68" name="Create Document" width="90" x="179" y="187">
<parameter key="text" value="Hello world world!"/>
<parameter key="add label" value="false"/>
<parameter key="label_type" value="nominal"/>
</operator>
<operator activated="true" class="text:process_documents" compatibility="7.3.000" expanded="true" height="103" name="Process Documents" width="90" x="313" y="238">
<parameter key="create_word_vector" value="true"/>
<parameter key="vector_creation" value="TF-IDF"/>
<parameter key="add_meta_information" value="true"/>
<parameter key="keep_text" value="false"/>
<parameter key="prune_method" value="none"/>
<parameter key="prune_below_percent" value="3.0"/>
<parameter key="prune_above_percent" value="30.0"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.95"/>
<parameter key="datamanagement" value="double_sparse_array"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="7.3.000" expanded="true" height="68" name="Tokenize" width="90" x="45" y="34">
<parameter key="mode" value="non letters"/>
<parameter key="characters" value=".:"/>
<parameter key="language" value="English"/>
<parameter key="max_token_length" value="3"/>
</operator>
<connect from_port="document" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="text:wordlist_to_data" compatibility="7.3.000" expanded="true" height="82" name="WordList to Data" width="90" x="514" y="289"/>
<operator activated="true" class="r_scripting:execute_r" compatibility="7.2.000" expanded="true" height="82" name="Execute R" width="90" x="715" y="289">
<parameter key="script" value="rm_main = function(data) { windows() wordcloud::wordcloud(data$word, data$total, min.freq = 1) Sys.sleep(3) } "/>
</operator>
<connect from_op="Create Document" from_port="output" to_op="Process Documents" to_port="documents 1"/>
<connect from_op="Process Documents" from_port="word list" to_op="WordList to Data" to_port="word list"/>
<connect from_op="WordList to Data" from_port="example set" to_op="Execute R" to_port="input 1"/>
<connect from_op="Execute R" from_port="output 1" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>