如何在 R 中将整数转换为用单词书写的整数?
如果我们有一些数字,我们可能希望将这些数字转换成单词形式。例如,将 1 转换成一。在文本数据包括数字的情况下,这可能是必需的。因此,最好用文本形式表示数字以实现文本的一致性。这可以使用 qdap 包中的 replace_number 函数来实现。
安装和加载 qdap 包−
install.packages("qdap") library("qdap")
示例
replace_number("1") [1] "one" replace_number("10") [1] "ten" replace_number("100") [1] "one hundred" replace_number("1000") [1] "one thousand" replace_number("1001") [1] "one thousand one" replace_number("12000") [1] "twelve thousand" replace_number("12214") [1] "twelve thousand two hundred fourteen" replace_number("15748") [1] "fifteen thousand seven hundred forty eight" replace_number("2361414") [1] "two million three hundred sixty one thousand four hundred fourteen" replace_number("321457") [1] "three hundred twenty one thousand four hundred fifty seven" replace_number(c("1","2","3","4","5","6","7","8","9","10")) [1] "one" "two" "three" "four" "five" "six" "seven" "eight" "nine" [10] "ten" replace_number(c("321457","214521","365841")) [1] "three hundred twenty one thousand four hundred fifty seven" [2] "two hundred fourteen thousand five hundred twenty one" [3] "three hundred sixty five thousand eight hundred forty one" replace_number(c("264155","154512","344512","2144","221","14542","35915112","1454221","147232321","14789523")) [1] "two hundred sixty four thousand one hundred fifty five" [2] "one hundred fifty four thousand five hundred twelve" [3] "three hundred forty four thousand five hundred twelve" [4] "two thousand one hundred forty four" [5] "two hundred twenty one" [6] "fourteen thousand five hundred forty two" [7] "thirty five million nine hundred fifteen thousand one hundred twelve" [8] "one million four hundred fifty four thousand two hundred twenty one" [9] "one hundred forty seven million two hundred thirty two thousand three hundred twenty one" [10] "fourteen million seven hundred eighty nine thousand five hundred twenty three"
x<-c("印度有 29 个邦") replace_number(x)
[1] "There are twenty nine states in india"
y<-c("1025454 人患上新冠肺炎") replace_number(y)
[1] "one million twenty five thousand four hundred fifty four people suffered from covid-nineteen"
z<-c("世界上有 22 个阿拉伯国家") replace_number(z)
[1] "We have twenty two Arab countries in the world"
v1<-sample(0:5000,20) v1
[1] 1845 4438 4664 1803 1131 4254 4880 4267 4764 4168 222 3880 534 1319 4998 [16] 370 2657 78 1056 620 replace_number(v1) [1] "one thousand eight hundred forty five" [2] "four thousand four hundred thirty eight" [3] "four thousand six hundred sixty four" [4] "one thousand eight hundred three" [5] "one thousand one hundred thirty one" [6] "four thousand two hundred fifty four" [7] "four thousand eight hundred eighty" [8] "four thousand two hundred sixty seven" [9] "four thousand seven hundred sixty four" [10] "four thousand one hundred sixty eight" [11] "two hundred twenty two" [12] "three thousand eight hundred eighty" [13] "five hundred thirty four" [14] "one thousand three hundred nineteen" [15] "four thousand nine hundred ninety eight" [16] "three hundred seventy" [17] "two thousand six hundred fifty seven" [18] "seventy eight" [19] "one thousand fifty six" [20] "six hundred twenty"
v2<-sample(100001:999999,20)
v2
[1] 359487 994098 458703 474531 106581 905167 373805 288612 614544 591035 [11] 632526 649772 711979 785355 720779 678609 843081 679009 593148 801554
replace_number(v2)
[1] "three hundred fifty nine thousand four hundred eighty seven" [2] "nine hundred ninety four thousand ninety eight" [3] "four hundred fifty eight thousand seven hundred three" [4] "four hundred seventy four thousand five hundred thirty one" [5] "one hundred six thousand five hundred eighty one" [6] "nine hundred five thousand one hundred sixty seven" [7] "three hundred seventy three thousand eight hundred five" [8] "two hundred eighty eight thousand six hundred twelve" [9] "six hundred fourteen thousand five hundred forty four" [10] "five hundred ninety one thousand thirty five" [11] "six hundred thirty two thousand five hundred twenty six" [12] "six hundred forty nine thousand seven hundred seventy two" [13] "seven hundred eleven thousand nine hundred seventy nine" [14] "seven hundred eighty five thousand three hundred fifty five" [15] "seven hundred twenty thousand seven hundred seventy nine" [16] "six hundred seventy eight thousand six hundred nine" [17] "eight hundred forty three thousand eighty one" [18] "six hundred seventy nine thousand nine" [19] "five hundred ninety three thousand one hundred forty eight" [20] "eight hundred one thousand five hundred fifty four"
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