R 将单元格条目粘贴到一个单元格中并删除空单元格

我有以下问题： 我有一张有许多空房间的桌子。但第一列不包含空单元格。像这样：

structure(list(variable = c("variable", "Mean (M)", "Standard", 
"deviation", "(SD)", "1. Challenge"), M = c("M", "", "", "", 
"", "3.06"), SD = c("SD", "", "", "", "", "1.08"), X1 = c("1", 
"3.03", "1.09", "", "", ""), X2 = c("2", "2.19", "1.07", "", 
"", "â\210’0.06"), X3 = c("3", "1.93", "1.10", "", "", "0.52***"
), X4 = c("4", "1.86", "1.04", "", "", "â\210’0.14*")), row.names = c(NA, 
6L), class = "data.frame"))

现在，我想将标准（=“偏差”和“（SD）”下的两个单元格的条目粘贴到on单元格中，并删除这些仅包含空单元格的行。因此，输出应如下所示：

structure(list(variable = structure(c(2L, 3L, 1L), .Label = c("1. Challenge", 
"Mean (M)", "Standard deviation SD", "variable"), class = "factor"), 
    M = structure(c(1L, 1L, 2L), .Label = c("", "3.06", "M"), class = "factor"), 
    SD = structure(c(1L, 1L, 2L), .Label = c("", "1.08", "SD"
    ), class = "factor"), `1` = structure(c(4L, 3L, 1L), .Label = c("", 
    "1", "1.09", "3.03"), class = "factor"), `2` = structure(c(3L, 
    1L, 4L), .Label = c("1.07", "2", "2.19", "â\210’0.06"), class = "factor"), 
    `3` = structure(3:1, .Label = c("0.52***", "1.10", "1.93", 
    "3"), class = "factor"), `4` = structure(c(2L, 1L, 4L), .Label = c("1.04", 
    "1.86", "4", "â\210’0.14*"), class = "factor")), row.names = 2:4, class = "data.frame")

你能帮忙吗？

---

谢谢

一个选项是根据除第一列之外的所有列中出现的空格（

”

）创建分组列，然后在行数大于1时粘贴每个列的元素，并获得不同的

行

library(dplyr)
library(stringr)
df1 %>% 
    group_by(grp = cumsum(rowSums(.[-1] == "") != ncol(.)-1))  %>%  
    mutate_at(vars(-group_cols()), ~ if(n() > 1) str_c(., collapse=" ") else .) %>%
    ungroup %>%
    type.convert(as.is = TRUE) %>%
    select(-grp) %>% 
    distinct

您可以删除缺少数据的列，然后手动重命名该列<代码>df，但这没有帮助，因为问题不是NA，而是空白单元格！我试过这样做：
no\u blank\u Table您可以使用dplyr相当轻松地将所有空白值转换为NA:
df！非常感谢你！我不知道这是否需要，但我简化了一点：
Table2%>%groupby（grp=cumsum（rowSums（.-1]==“”）！=ncol（.）-1））%>%mutate_at（vars（-group_cols（）），~if（n（）>1）str_c（，collapse=“”）else.）%>%unique（.）%>%。[-1，--10]
@Anne KathrinKleine谢谢你。
type.convert
用于更改每列的类型（如果需要），并且
unique
是一个基本R，类似于
distinct
from
dplyr