小编chr*_*oph的帖子

vim:gq在包装文本时忽略打开的引号

假设我有一个文件中的字符串列表(例如Python脚本),如下所示:

my_list_of_numbers = ["one two",
    "three four",
    "five six",
    "seven eight",
    "nine ten",
    "eleven twelve"]
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如果我对这个文本进行了直观的选择,我可以gq用来包装文本来获得:

my_list_of_numbers = ["one two", "three four", "five six", "seven eight", "nine
    ten", "eleven twelve"]
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但是,该元素"nine ten"现在被分成两行.

如何在避免在开放引号内输入换行符时包装文本?我想要的结果如下:

my_list_of_numbers = ["one two", "three four", "five six", "seven eight",
    "nine ten", "eleven twelve"]
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python vim

10
推荐指数
1
解决办法
261
查看次数

为什么我得到NA系数以及`lm`如何降低交互的参考水平

我试图了解R如何确定线性模型中相互作用的参考组.考虑以下:

df <- structure(list(id = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 
5L, 5L, 5L, 5L, 5L, 5L), .Label = c("1", "2", "3", "4", "5"), class = "factor"), 
    year = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
    1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 
    2L, 1L, 2L, 1L, 2L), .Label = c("1", …
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regression r linear-regression lm

5
推荐指数
1
解决办法
2269
查看次数

标签 统计

linear-regression ×1

lm ×1

python ×1

r ×1

regression ×1

vim ×1