这是我的数据集:
ui 194635691 194153563 177382028 177382031 195129144 196972549 196258704 194907960 196950156 194139014 153444738 192982501 192891196
1 237 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.000 0 0 0 0
2 261 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.000 0 0 0 0
3 290 0.00 0.00 0.01 0.01 0.00 0.00 0.00 0.00 0.000 0 0 0 0
4 483 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.000 0 0 0 0
5 485 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.027 0 0 0 0
6 533 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.000 0 0 0 0
7 534 0.00 0.00 0.00 0.00 0.08 0.00 0.00 0.00 0.000 0 0 0 0
8 535 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.000 0 0 0 0
9 536 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.000 0 0 0 0
user_id = actions_slippers $ ui [i]此用户ID来自其他数据框
我想获取user_id的行,我尝试了以下代码:
for (i in 1:nrow(actions_slippers)) {
if (actions_slippers$w[i]==0.027) {
user_id=actions_slippers$ui[i]
for (j in 1:i) {
mydf <- data.frame(
ui = c(actions_slippers$ui[1:i]),
w = c(actions_slippers$w[1:i]),
iios = factor(
c(actions_slippers$iios[1:i]),
levels = unique(x)))
a= dcast(mydf, formula = ui ~ iios,
fill = 0, value.var = "w",
fun.aggregate = sum, drop = FALSE)
a[a$ui %in% user_id, ]
我的目标是从数据帧中获取user_id的向量,然后计算user_id向量与数据帧中其他向量之间的余弦相似度
但它又回来了:
<0 rows> (or 0-length row.names)
谁能告诉我怎么做?
答案 0 :(得分:2)
您可以使用
a[a$ui %in% user_id, ]
例如,
> a <- data.frame(ui = c(237, 261, 290), v1 = c(1, 2, 3), v2 = c(2, 3, 4))
> a
ui v1 v2
1 237 1 2
2 261 2 3
3 290 3 4
> user_id <- 261
> a[a$ui %in% user_id, ]
ui v1 v2
2 261 2 3
> user_id <- c(261, 237)
> a[a$ui %in% user_id, ]
ui v1 v2
1 237 1 2
2 261 2 3
答案 1 :(得分:0)
不应该
Fragment fragmentStartPage = null;
fragmentStartPage = new FragmentEmails();
FragmentManager fragmentManager = getActivity().getSupportFragmentManager();
FragmentTransaction fragmentTransaction = fragmentManager.beginTransaction();
fragmentTransaction.replace(R.id.email_container, fragmentStartPage);
fragmentTransaction.commit();
最后没有这个[i]? 然后:
user_id=actions_slippers$ui