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 plyr(或我正在使用的另一个库) 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 plyr (or another library I am using) 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. 确实,plyr曾经用于加载reshape,但现在不再加载.(我当时在考虑ggplot2.)
As I indicated though, the best solution might just be to upgrade everything. It is true that plyr used to load reshape, but it doesn't anymore. ( I was thinking ggplot2.)
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