我有一個文檔術語矩陣,其頻率> 600個字,並且有相應的日期(mm/dd/yyyy)對於每個頻率值:如何繪製字與時間的頻率,並將時間變量分組爲月/年和年R
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Claim.Number Note.Date LOSSDATE DATEREPORTED
1 106810 7/10/1998 12/9/1997 12/29/1997
2 106810 7/21/1998 12/9/1997 12/29/1997
3 106810 10/21/1999 12/9/1997 12/29/1997
DATEENTERED Row Topic absenc abus academ access
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3 1/5/1998 8 11 0 0 0 0
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xsolx
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我試圖按月份/年份和年份對頻率值進行分組。例如,對於「上訴」這個詞,不是在1998年1月5日發生了2次,而是在1998年5月1日發生了另一次發生,我想在1998年1月發生3次,然後發生3次假設一年中其餘時間沒有更多的點擊)。然後我想繪製每月/每年/每月/每年的頻率,以及每年與每年的頻率。
我試圖通過月/年使用下面的代碼組:
df %>%
mutate(month_year = format(date, "%Y/%m")) %>%
group_by(month_year) %>%
summarise(total = sum(vocabfreq))
其中值均列文字的原始數據集的頻率。另一個問題是我的數據集非常大,我很難在一個顯示特色的圖表上繪製多個系列。
當我嘗試這個,日期列不包括在數據框? –
這不是一個data.frame,它是一個xts對象。日期可以通過'index(dat.xts)'來檢索。這是處理日期數據的更有效的方法。 – DunderChief
另外,如果在您的問題中提供一個可重複的示例,那麼我們可以使用您的數據給出一個示例。請參閱'?dput' – DunderChief