我有一个具有列A,B,和C的数据帧。 我想补充B和C之间的新列d。
我知道我可以只用cbind在末尾添加d但我该如何将它插入两列之间?
我有一个具有列A,B,和C的数据帧。 我想补充B和C之间的新列d。
我知道我可以只用cbind在末尾添加d但我该如何将它插入两列之间?
我建议你使用功能add_column()
从tibble
包。
library(tibble)
dataset <- data.frame(a = 1:5, b = 2:6, c=3:7)
add_column(dataset, d = 4:8, .after = 2)
请注意,您可以使用列名而不是列索引:
add_column(dataset, d = 4:8, .after = "b")
或使用的说法.before
不是.after
如果有更多的方便。
add_column(dataset, d = 4:8, .before = "c")
添加在您的新列:
df$d <- list/data
然后你就可以重新排序。
df <- df[, c("a", "b", "d", "c")]
您可以使用[列重新排序,或者您想要的顺序呈现列。
d <- data.frame(a=1:4, b=5:8, c=9:12)
target <- which(names(d) == 'b')[1]
cbind(d[,1:target,drop=F], data.frame(d=12:15), d[,(target+1):length(d),drop=F])
a b d c
1 1 5 12 9
2 2 6 13 10
3 3 7 14 11
4 4 8 15 12
假定该c
始终紧跟b
,该代码会后添加一列b
无论身在何处b
是在你的data.frame。
> test <- data.frame(a=1,b=1,c=1)
> test
a b c
1 1 1 1
> bspot <- which(names(test)=="b")
> data.frame(test[1:bspot],d=2,test[(bspot+1):ncol(test)])
a b d c
1 1 1 2 1
或者可能更自然:
data.frame(append(test, list(d=2), after=match("b", names(test))))
创建一个例子data.frame和列添加到它。
df = data.frame(a = seq(1, 3), b = seq(4,6), c = seq(7,9))
df['d'] <- seq(10,12)
df
a b c d
1 1 4 7 10
2 2 5 8 11
3 3 6 9 12
通过列索引重新排列
df[, colnames(df)[c(1:2,4,3)]]
或按列名
df[, c('a', 'b', 'd', 'c')]
其结果是
a b d c
1 1 4 10 7
2 2 5 11 8
3 3 6 12 9
您想列z合计到旧数据帧(old.df)按列x和y定义的。
z = rbinom(1000, 5, 0.25)
old.df <- data.frame(x = c(1:1000), y = rnorm(1:1000))
head(old.df)
定义一个名为new.df新的数据帧
new.df <- data.frame(x = old.df[,1], z, y = old.df[,2])
head(new.df)
对于它的价值,我写了一个函数来做到这一点:
[除去]
我现在已经更新了这个功能与before
和after
的功能和违约place
为1。它还具有数据表的兼容性:
#####
# FUNCTION: InsertDFCol(colName, colData, data, place = 1, before, after)
# DESCRIPTION: Takes in a data, a vector of data, a name for that vector and a place to insert this vector into
# the data frame as a new column. If you put place = 3, the new column will be in the 3rd position and push the current
# 3rd column up one (and each subsuquent column up one). All arguments must be set. Adding a before and after
# argument that will allow the user to say where to add the new column, before or after a particular column.
# Please note that if before or after is input, it WILL override the place argument if place is given as well. Also, place
# defaults to adding the new column to the front.
#####
InsertDFCol <- function(colName, colData, data, place = 1, before, after) {
# A check on the place argument.
if (length(names(data)) < place) stop("The place argument exceeds the number of columns in the data for the InsertDFCol function. Please check your place number")
if (place <= 0 & (!missing(before) | !(missing(after)))) stop("You cannot put a column into the 0th or less than 0th position. Check your place argument.")
if (place %% 1 != 0 & (!missing(before) | !(missing(after)))) stop("Your place value was not an integer.")
if (!(missing(before)) & !missing(after)) stop("You cannot designate a before AND an after argument in the same function call. Please use only one or the other.")
# Data Table compatability.
dClass <- class(data)
data <- as.data.frame(data)
# Creating booleans to define whether before or after is given.
useBefore <- !missing(before)
useAfter <- !missing(after)
# If either of these are true, then we are using the before or after argument, run the following code.
if (useBefore | useAfter) {
# Checking the before/after argument if given. Also adding regular expressions.
if (useBefore) { CheckChoice(before, names(data)) ; before <- paste0("^", before, "$") }
if (useAfter) { CheckChoice(after, names(data)) ; after <- paste0("^", after, "$") }
# If before or after is given, replace "place" with the appropriate number.
if (useBefore) { newPlace <- grep(before, names(data)) ; if (length(newPlace) > 1) { stop("Your before argument matched with more than one column name. Do you have duplicate column names?!") }}
if (useAfter) { newPlace <- grep(after, names(data)) ; if (length(newPlace) > 1) { stop("Your after argument matched with more than one column name. Do you have duplicate column names?!") }}
if (useBefore) place <- newPlace # Overriding place.
if (useAfter) place <- newPlace + 1 # Overriding place.
}
# Making the new column.
data[, colName] <- colData
# Finding out how to reorder this.
# The if statement handles the case where place = 1.
currentPlace <- length(names(data)) # Getting the place of our data (which should have been just added at the end).
if (place == 1) {
colOrder <- c(currentPlace, 1:(currentPlace - 1))
} else if (place == currentPlace) { # If the place to add the new data was just at the end of the data. Which is stupid...but we'll add support anyway.
colOrder <- 1:currentPlace
} else { # Every other case.
firstHalf <- 1:(place - 1) # Finding the first half on columns that come before the insertion.
secondHalf <- place:(currentPlace - 1) # Getting the second half, which comes after the insertion.
colOrder <- c(firstHalf, currentPlace, secondHalf) # Putting that order together.
}
# Reordering the data.
data <- subset(data, select = colOrder)
# Data Table compatability.
if (dClass[1] == "data.table") data <- as.data.table(data)
# Returning.
return(data)
}
我意识到,我还没有包括CheckChoice:
#####
# FUNCTION: CheckChoice(names, dataNames, firstWord == "Oops" message = TRUE)
# DESCRIPTION: Takes the column names of a data frame and checks to make sure whatever "choice" you made (be it
# your choice of dummies or your choice of chops) is actually in the data frame columns. Makes troubleshooting easier.
# This function is also important in prechecking names to make sure the formula ends up being right. Use it after
# adding in new data to check the "choose" options. Set firstWord to the first word you want said before an exclamation point.
# The warn argument (previously message) can be set to TRUE if you only want to
#####
CheckChoice <- function(names, dataNames, firstWord = "Oops", warn = FALSE) {
for (name in names) {
if (warn == TRUE) { if(!(name %in% dataNames)) { warning(paste0(firstWord, "! The column/value/argument, ", name, ", was not valid OR not in your data! Check your input! This is a warning message of that!")) } }
if (warn == FALSE) { if(!(name %in% dataNames)) { stop(paste0(firstWord, "! The column/value/argument, " , name, ", was not valid OR not in your data! Check your input!")) } }
}
}
下面是在数据帧上的特定位置插入一列的快速和肮脏的方式。 就我而言,我在原始数据帧5列: c1, c2, c3, c4, c5
,我将插入一个新列c2b
之间c2
和c3
。
1)让我们先来创建测试数据帧:
> dataset <- data.frame(c1 = 1:5, c2 = 2:6, c3=3:7, c4=4:8, c5=5:9)
> dataset
c1 c2 c3 c4 c5
1 1 2 3 4 5
2 2 3 4 5 6
3 3 4 5 6 7
4 4 5 6 7 8
5 5 6 7 8 9
2)添加新列c2b
在我们的数据帧的结尾:
> dataset$c2b <- 10:14
> dataset
c1 c2 c3 c4 c5 c2b
1 1 2 3 4 5 10
2 2 3 4 5 6 11
3 3 4 5 6 7 12
4 4 5 6 7 8 13
5 5 6 7 8 9 14
3)重新排序基于列索引的数据帧。 在我的情况下,我要插入新的列(6)现有的列2和3我之间,通过使用矢量寻址我的数据帧在列c(1:2, 6, 3:5)
其等同到c(1, 2, 6, 3, 4, 5)
> dataset <- dataset[,c(1:2, 6, 3:5)]
> dataset
c1 c2 c2b c3 c4 c5
1 1 2 10 3 4 5
2 2 3 11 4 5 6
3 3 4 12 5 6 7
4 4 5 13 6 7 8
5 5 6 14 7 8 9
那里!
该功能用于插入在数据帧中的所有存在的预列之间的一个零列。
insertaCols<-function(dad){
nueva<-as.data.frame(matrix(rep(0,nrow(daf)*ncol(daf)*2 ),ncol=ncol(daf)*2))
for(k in 1:ncol(daf)){
nueva[,(k*2)-1]=daf[,k]
colnames(nueva)[(k*2)-1]=colnames(daf)[k]
}
return(nueva)
}
下面是如何从过去的移动列到第一位置的一个例子。 它结合[
与ncol
。 我认为这将是有用的在这里有一个非常简短的回答为繁忙的读者:
d = mtcars
d[, c(ncol(d), 1:(ncol(d)-1))]
您可以使用append()
函数将项目插入载体或列表(dataframes是列表)。 只是:
df <- data.frame(a=c(1,2), b=c(3,4), c=c(5,6))
df <- as.data.frame(append(df, list(d=df$b+df$c), after=2))
或者,如果你想按名称指定使用的位置which
:
df <- as.data.frame(append(df, list(d=df$b+df$c), after=which(names(df)=="b")))
`
data1 <- data.frame(col1=1:4, col2=5:8, col3=9:12)
row.names(data1) <- c("row1","row2","row3","row4")
data1
data2 <- data.frame(col1=21:24, col2=25:28, col3=29:32)
row.names(data2) <- c("row1","row2","row3","row4")
data2
insertPosition = 2
leftBlock <- unlist(data1[,1:(insertPosition-1)])
insertBlock <- unlist(data2[,1:length(data2[1,])])
rightBlock <- unlist(data1[,insertPosition:length(data1[1,])])
newData <- matrix(c(leftBlock, insertBlock, rightBlock), nrow=length(data1[,1]), byrow=FALSE)
newData
`
R有没有功能来指定添加了一个新列。 例如, mtcars$mycol<-'foo'
。 它总是被添加作为最后一列。 使用其他手段(例如, dplyr's select()
你可以在mycol移动到所需的位置。 这是不理想和R可能想尝试改变,在未来。
你可以像下面 -
df <- data.frame(a=1:4, b=5:8, c=9:12)
df['d'] <- seq(10,13)
df <- df[,c('a','b','d','c')]
简单的解决方案。 在5列的数据帧,如果你想插入3和4之间的另一列...
tmp <- data[, 1:3]
tmp$example <- NA # or any value.
data <- cbind(tmp, data[, 4:5]