重塑包装掩膜的形状，以防止熔化物命名色谱柱

问题描述

我有一个同时需要reshape和reshape2库的脚本.我知道这是很差的做法，但是我认为 Vennerable正在加载reshape，我个人在很多地方都使用过reshape2.

I have a script which requires both reshape and reshape2 libraries. I know this is poor practise, but I think Vennerable is loading reshape and I have personally used reshape2 in a lot of places.

问题是reshape对reshape2的屏蔽导致melt函数出现问题

The problem is that the masking of reshape2 by reshape is causing problems for the melt function

# Example data frame
df <- data.frame(id=c(1:5), a=c(rnorm(5)), b=c(rnorm(5)))

# With just reshape2, variable and value columns are labelled correctly
library(reshape2)
melt(df, measure.vars=c("a", "b"), variable.name="type", value.name="distance")
   id type   distance
1   1    a -2.0233666
2   2    a  0.4625188
3   3    a -2.8688127
4   4    a  0.8151644
5   5    a -0.4574464
6   1    b  1.3197784
7   2    b  1.6213146
8   3    b  1.3508913
9   4    b -1.6483839
10  5    b -1.1342157

# But my script also has reshape loaded
library(reshape)
Loading required package: plyr

Attaching package: ‘reshape’

The following object(s) are masked from ‘package:plyr’:

    rename, round_any

The following object(s) are masked from ‘package:reshape2’:

    colsplit, melt, recast

# When calling melt in this environment, variable and value columns stick to 
# their default names
melt(df, measure.vars=c("a", "b"), variable.name="type", value.name="distance")
   id variable      value
1   1        a -2.0233666
2   2        a  0.4625188
3   3        a -2.8688127
4   4        a  0.8151644
5   5        a -0.4574464
6   1        b  1.3197784
7   2        b  1.6213146
8   3        b  1.3508913
9   4        b -1.6483839
10  5        b -1.1342157

我以为我可以使用reshape2::melt从reshape2专门调用melt，但是我仍然遇到同样的问题.

I thought I could specifically call melt from reshape2 using reshape2::melt but I still get the same problem.

有没有解决这个问题的简单方法?如果没有，我将不得不在每次融化调用之后直接手动重新标记列名称.

Is there an easy way around this? If not I will have to manually relabel the column names straight after each melt call.

推荐答案

使用reshape2:::melt.data.frame(...).

melt实际上是一种方法:

> reshape2::melt
function (data, ..., na.rm = FALSE, value.name = "value") 
{
    UseMethod("melt", data)
}
<environment: namespace:reshape2>

因此，对于数据帧，R将搜索melt.data.frame，它位于reshape中:

So, in the case of a data frame, R will search for melt.data.frame, which is in reshape:

> melt.data.frame
function (data, id.vars, measure.vars, variable_name = "variable", 
    na.rm = !preserve.na, preserve.na = TRUE, ...) 
{
    ...
}
<environment: namespace:reshape>

正如我所指出的，最好的解决方案可能只是升级所有内容. (我当时在考虑ggplot2.)

As I indicated though, the best solution might just be to upgrade everything. ( I was thinking ggplot2.)

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