R 如何删除附加到数字的斜杠
我的txt文件有问题。我想删除附加在数字上的斜杠。我怎么做？我还想用点代替逗号。我把文件内容复制到这里。注意：第一行是标题R 如何删除附加到数字的斜杠,r,R,我的txt文件有问题。我想删除附加在数字上的斜杠。我怎么做？我还想用点代替逗号。我把文件内容复制到这里。注意：第一行是标题 Regions X1 X2 X3 X4 X5 X6 X7 Piemonte /25,4 35.9 8.5 0.6 7.6 13.5 8.5 Val_d_Aosta /41,3 49.6 1.9 0.0 0.9 5.8 0.5 Lombardia /26,5 36.4 10.6 2.1 4.1 15.2
Regions X1 X2 X3 X4 X5 X6 X7
Piemonte /25,4 35.9 8.5 0.6 7.6 13.5 8.5
Val_d_Aosta /41,3 49.6 1.9 0.0 0.9 5.8 0.5
Lombardia /26,5 36.4 10.6 2.1 4.1 15.2 5.1
Liguria 33.2 /44,0 5.3 0.6 3.6 12.4 0.9
Trentino /26,3 52.3 6.5 0.5 2.1 11.6 0.7
Veneto 23.3 /41,6 6.3 9.7 3.2 14.8 1.1
Friuli 25.3 /49,1 5.4 0.8 3.0 12.8 3.6
Emilia_Romagna /29,4 40.7 7.9 0.9 5.6 13.5 2.0
Toscana 38.5 /37,2 5.0 2.6 3.1 12.2 1.4
Umbria 32.0 /46,8 4.6 0.7 4.5 9.4 2.0
Marche 26.5 /49,4 4.4 0.8 4.2 9.1 5.6
Lazio 21.4 /35,5 6.2 1.8 4.4 23.0 7.7
Abruzzo 33.7 /54,1 2.4 0.1 3.1 4.1 2.5
Molise 24.0 /64,5 0.6 0.0 2.9 6.8 1.2
Campania /31,0 40.9 4.6 3.4 2.0 12.1 6.0
Puglia 33.5 /46,3 3.8 0.2 2.4 11.2 2.6
Basilicata /24,4 60.4 2.9 0.1 4.5 5.7 2.0
Calabria /28,5 54.3 3.6 0.3 1.8 8.5 3.0
Sicilia 33.5 /48,9 4.8 0.3 2.9 7.9 1.7
Sardegna /32,1 54.6 3.6 0.1 2.3 5.5 1.8
Italia 28.4 /40,3 7.2 1.4 4.2 14.1 4.4
我们可以使用
basergsub/，df1[-1] <- lapply(df1[-1], function(x)
as.numeric(sub("[/]", "", gsub(",", ".", x))))
df1
# Regions X1 X2 X3 X4 X5 X6 X7
#1 Piemonte 25.4 35.9 8.5 0.6 7.6 13.5 8.5
#2 Val_d_Aosta 41.3 49.6 1.9 0.0 0.9 5.8 0.5
#3 Lombardia 26.5 36.4 10.6 2.1 4.1 15.2 5.1
#4 Liguria 33.2 44.0 5.3 0.6 3.6 12.4 0.9
#5 Trentino 26.3 52.3 6.5 0.5 2.1 11.6 0.7
#6 Veneto 23.3 41.6 6.3 9.7 3.2 14.8 1.1
#7 Friuli 25.3 49.1 5.4 0.8 3.0 12.8 3.6
#8 Emilia_Romagna 29.4 40.7 7.9 0.9 5.6 13.5 2.0
#9 Toscana 38.5 37.2 5.0 2.6 3.1 12.2 1.4
#10 Umbria 32.0 46.8 4.6 0.7 4.5 9.4 2.0
#11 Marche 26.5 49.4 4.4 0.8 4.2 9.1 5.6
#12 Lazio 21.4 35.5 6.2 1.8 4.4 23.0 7.7
#13 Abruzzo 33.7 54.1 2.4 0.1 3.1 4.1 2.5
#14 Molise 24.0 64.5 0.6 0.0 2.9 6.8 1.2
#15 Campania 31.0 40.9 4.6 3.4 2.0 12.1 6.0
#16 Puglia 33.5 46.3 3.8 0.2 2.4 11.2 2.6
#17 Basilicata 24.4 60.4 2.9 0.1 4.5 5.7 2.0
#18 Calabria 28.5 54.3 3.6 0.3 1.8 8.5 3.0
#19 Sicilia 33.5 48.9 4.8 0.3 2.9 7.9 1.7
#20 Sardegna 32.1 54.6 3.6 0.1 2.3 5.5 1.8
#21 Italia 28.4 40.3 7.2 1.4 4.2 14.1 4.4
df1[-1]Atidyverse
approach
df %>%
mutate_at(vars(starts_with("X")), function(x)
as.numeric(gsub("/(\\d+),(\\d+)", "\\1.\\2", x)))
# Regions X1 X2 X3 X4 X5 X6 X7
#1 Piemonte 25.4 35.9 8.5 0.6 7.6 13.5 8.5
#2 Val_d_Aosta 41.3 49.6 1.9 0 0.9 5.8 0.5
#3 Lombardia 26.5 36.4 10.6 2.1 4.1 15.2 5.1
#4 Liguria 33.2 44.0 5.3 0.6 3.6 12.4 0.9
#5 Trentino 26.3 52.3 6.5 0.5 2.1 11.6 0.7
#6 Veneto 23.3 41.6 6.3 9.7 3.2 14.8 1.1
#7 Friuli 25.3 49.1 5.4 0.8 3 12.8 3.6
#8 Emilia_Romagna 29.4 40.7 7.9 0.9 5.6 13.5 2
#9 Toscana 38.5 37.2 5 2.6 3.1 12.2 1.4
#10 Umbria 32.0 46.8 4.6 0.7 4.5 9.4 2
#11 Marche 26.5 49.4 4.4 0.8 4.2 9.1 5.6
#12 Lazio 21.4 35.5 6.2 1.8 4.4 23 7.7
#13 Abruzzo 33.7 54.1 2.4 0.1 3.1 4.1 2.5
#14 Molise 24.0 64.5 0.6 0 2.9 6.8 1.2
#15 Campania 31.0 40.9 4.6 3.4 2 12.1 6
#16 Puglia 33.5 46.3 3.8 0.2 2.4 11.2 2.6
#17 Basilicata 24.4 60.4 2.9 0.1 4.5 5.7 2
#18 Calabria 28.5 54.3 3.6 0.3 1.8 8.5 3
#19 Sicilia 33.5 48.9 4.8 0.3 2.9 7.9 1.7
#20 Sardegna 32.1 54.6 3.6 0.1 2.3 5.5 1.8
#21 Italia 28.4 40.3 7.2 1.4 4.2 14.1 4.4
这将替换所有以X
开头的列中的反斜杠和逗号，并将条目转换为numeric
s
样本数据
df欢迎使用堆栈溢出！纯代码编写请求与堆栈溢出无关-我们希望这里的问题与特定的编程问题相关-但我们很乐意帮助您自己编写！告诉我们，你被困在哪里了。这也将有助于我们更好地回答您的问题。dat[-1]=as.numeric（sub（“/”，”，sub（“，”，”），as.matrix（dat[-1]））
df %>%
mutate_at(vars(starts_with("X")), function(x)
as.numeric(gsub("/(\\d+),(\\d+)", "\\1.\\2", x)))
# Regions X1 X2 X3 X4 X5 X6 X7
#1 Piemonte 25.4 35.9 8.5 0.6 7.6 13.5 8.5
#2 Val_d_Aosta 41.3 49.6 1.9 0 0.9 5.8 0.5
#3 Lombardia 26.5 36.4 10.6 2.1 4.1 15.2 5.1
#4 Liguria 33.2 44.0 5.3 0.6 3.6 12.4 0.9
#5 Trentino 26.3 52.3 6.5 0.5 2.1 11.6 0.7
#6 Veneto 23.3 41.6 6.3 9.7 3.2 14.8 1.1
#7 Friuli 25.3 49.1 5.4 0.8 3 12.8 3.6
#8 Emilia_Romagna 29.4 40.7 7.9 0.9 5.6 13.5 2
#9 Toscana 38.5 37.2 5 2.6 3.1 12.2 1.4
#10 Umbria 32.0 46.8 4.6 0.7 4.5 9.4 2
#11 Marche 26.5 49.4 4.4 0.8 4.2 9.1 5.6
#12 Lazio 21.4 35.5 6.2 1.8 4.4 23 7.7
#13 Abruzzo 33.7 54.1 2.4 0.1 3.1 4.1 2.5
#14 Molise 24.0 64.5 0.6 0 2.9 6.8 1.2
#15 Campania 31.0 40.9 4.6 3.4 2 12.1 6
#16 Puglia 33.5 46.3 3.8 0.2 2.4 11.2 2.6
#17 Basilicata 24.4 60.4 2.9 0.1 4.5 5.7 2
#18 Calabria 28.5 54.3 3.6 0.3 1.8 8.5 3
#19 Sicilia 33.5 48.9 4.8 0.3 2.9 7.9 1.7
#20 Sardegna 32.1 54.6 3.6 0.1 2.3 5.5 1.8
#21 Italia 28.4 40.3 7.2 1.4 4.2 14.1 4.4
df <- read.table(text =
"Regions X1 X2 X3 X4 X5 X6 X7
Piemonte /25,4 35.9 8.5 0.6 7.6 13.5 8.5
Val_d_Aosta /41,3 49.6 1.9 0.0 0.9 5.8 0.5
Lombardia /26,5 36.4 10.6 2.1 4.1 15.2 5.1
Liguria 33.2 /44,0 5.3 0.6 3.6 12.4 0.9
Trentino /26,3 52.3 6.5 0.5 2.1 11.6 0.7
Veneto 23.3 /41,6 6.3 9.7 3.2 14.8 1.1
Friuli 25.3 /49,1 5.4 0.8 3.0 12.8 3.6
Emilia_Romagna /29,4 40.7 7.9 0.9 5.6 13.5 2.0
Toscana 38.5 /37,2 5.0 2.6 3.1 12.2 1.4
Umbria 32.0 /46,8 4.6 0.7 4.5 9.4 2.0
Marche 26.5 /49,4 4.4 0.8 4.2 9.1 5.6
Lazio 21.4 /35,5 6.2 1.8 4.4 23.0 7.7
Abruzzo 33.7 /54,1 2.4 0.1 3.1 4.1 2.5
Molise 24.0 /64,5 0.6 0.0 2.9 6.8 1.2
Campania /31,0 40.9 4.6 3.4 2.0 12.1 6.0
Puglia 33.5 /46,3 3.8 0.2 2.4 11.2 2.6
Basilicata /24,4 60.4 2.9 0.1 4.5 5.7 2.0
Calabria /28,5 54.3 3.6 0.3 1.8 8.5 3.0
Sicilia 33.5 /48,9 4.8 0.3 2.9 7.9 1.7
Sardegna /32,1 54.6 3.6 0.1 2.3 5.5 1.8
Italia 28.4 /40,3 7.2 1.4 4.2 14.1 4.4", header = T)