我认为标题有点令人困惑,但在这里我的问题: 我有2个向量,一个包含一些文本,另一个包含一些短语
class UserDepartmentRoleLink {
@EmbeddedId
private UserDepartmentRoleLinkId linkPk
= new UserDepartmentRoleLinkId();
@Transient
public User getUser() {
return getLinkPk().getUser();
}
@Transient
public User getDepartment() {
return getLinkPk().getDepartment();
}
@Transient
public User getRole() {
return getLinkPk().getRole();
}
}
@Embeddable
public class UserDepartmentRoleLinkId implements java.io.Serializable {
@ManyToOne(cascade = {CascadeType.PERSIST, CascadeType.MERGE})
@JoinColumn(name = "user_id")
private User user;
@ManyToOne(cascade = {CascadeType.PERSIST, CascadeType.MERGE})
@JoinColumn(name = "department_id")
private Department department;
@ManyToOne(cascade = {CascadeType.PERSIST, CascadeType.MERGE})
@JoinColumn(name = "role_id")
private Role role;
现在我要删除文本中text <- c("this is some text","some elements should be removed", "i hope you can help me with this text element problem")
pattern <- c("text", "some","be")
的所有元素,以及结果向量
pattern
我试过
text_result
[1] "this is"
[2] "elements should removed"
[3] "i hope you can help me with this element problem"
或
text_result <- sapply(pattern, function(x) gsub(x, text, replacement =""))
但在这两种情况下我都会收到一个带
的大矩阵text_result <- sapply(text, function(y) sapply(pattern, function(x)gsub(x,y,replacement ="")))
提前感谢!
答案 0 :(得分:0)
您可以尝试:
`%notin%` <- function(x,y) !(x %in% y)
lapply(strsplit(text," "),function(x) paste(x[x %notin% pattern],collapse=" "))