从 nchar 向量创建直方图
我正在尝试使用以下代码创建直方图并输入大型数据框
sortDATA<-function(name)
{
#sort the code by session Id, first name, then last name
sort1.name <- name[order("sessionid","qf","qn") , ]
#create a vector of length of first names
sname<-nchar(sort1.name$qf)
hist(sname)
}
我的直方图为空。知道我用这段代码做错了什么吗?
我正在添加一些示例数据
sessionid qf qn city
1 9cf571c8faa67cad2aa9ff41f3a26e38 cat biddix fresno
2 e30f853d4e54604fd62858badb68113a caleb amos
3 2ad41134cc285bcc06892fd68a471cd7 daniel folkers
4 2ad41134cc285bcc06892fd68a471cd7 daniel folkers
5 63a5e839510a647c1ff3b8aed684c2a5 charles pierce flint
6 691df47f2df12f14f000f9a17d1cc40e j franz prescott+valley
7 691df47f2df12f14f000f9a17d1cc40e j franz prescott+valley
8 b3a1476aa37ae4b799495256324a8d3d carrie mascorro brea
9 bd9f1404b313415e7e7b8769376d2705 fred morales las+vegas
10 b50a610292803dc302f24ae507ea853a aurora lee
11 fb74940e6feb0dc61a1b4d09fcbbcb37 andrew price yorkville
I am trying to create a histogram with the following code and entering in a large dataframe
sortDATA<-function(name)
{
#sort the code by session Id, first name, then last name
sort1.name <- name[order("sessionid","qf","qn") , ]
#create a vector of length of first names
sname<-nchar(sort1.name$qf)
hist(sname)
}
My histogram is empty. Any idea of what I am doing wrong with this code?
I am adding some of the sample data
sessionid qf qn city
1 9cf571c8faa67cad2aa9ff41f3a26e38 cat biddix fresno
2 e30f853d4e54604fd62858badb68113a caleb amos
3 2ad41134cc285bcc06892fd68a471cd7 daniel folkers
4 2ad41134cc285bcc06892fd68a471cd7 daniel folkers
5 63a5e839510a647c1ff3b8aed684c2a5 charles pierce flint
6 691df47f2df12f14f000f9a17d1cc40e j franz prescott+valley
7 691df47f2df12f14f000f9a17d1cc40e j franz prescott+valley
8 b3a1476aa37ae4b799495256324a8d3d carrie mascorro brea
9 bd9f1404b313415e7e7b8769376d2705 fred morales las+vegas
10 b50a610292803dc302f24ae507ea853a aurora lee
11 fb74940e6feb0dc61a1b4d09fcbbcb37 andrew price yorkville
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而不是 :
try:
看来 R 可能会将其视为一个因素。要检查,请尝试:
并查看它告诉您什么。由于 R 关于数据类型和容器的字面性质,
class()
非常有用。Instead of :
try:
It seems R might be looking at it as a factor. To check try:
and see what it tells you.
class()
can be very helpful due to R's literal nature about data types and containers.