我正在使用Rapidminer,在使用Wordlist来数据操作符之后,我想使用下面的脚本创建一个与一起执行R的单词云。我得到R执行失败:“没有将'TermDoumentMatrix‘应用于类\"c('data.table',data.frame’)的对象的适用方法。
datatable有一列单词、一列文档事件和一列单词事件。
有人能告诉我如何解决这个错误吗?
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")
}发布于 2016-12-21 19:14:37
将整个数据帧data作为第一个参数传递给wordcloud不起作用。(实际上,如果它是termDocumentMatrix类型的对象,这是R的tm包的一部分,那么它就可以工作,但这是另一个故事;然而,这就是错误信息的意义所在。)在RapidMiner内部,您必须将单词及其频率分别指定为第1参数和第2参数。
这样你就可以像
rm_main = function(data)
{
windows() # on MS Windows systems
wordcloud::wordcloud(data$word, data$total, min.freq = 1)
Sys.sleep(5)
}下面是一个创建单词云的示例过程,将其保存为"c:\mywordcloud.pdf“,并使用与.pdf文件关联的默认应用程序打开它(在Windows上):
<?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>https://stackoverflow.com/questions/41269333
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