【发布时间】:2022-06-16 02:35:55
【问题描述】:
除了非常基本的转换之外,我在转换 txt 数据方面几乎没有经验,我已经尝试了大约一个小时来使用 Excel 电源查询和 R 中的 Tidyverse。
我有一个如下格式的txt文件,下面的例子显示了三个植被调查地块的数据,虽然我的实际数据超过了1600个地块:
Plot 1
CVS: class 49
ELL: No data for 2 species: Betula seedling/sp; Quercus seedling/sp
ELL: Light 5.6; Wetness 5.5; pH 3.9; Fertility 4.2
CSR: 2 species with no data: Betula seedling/sp; Pinus sylvestris
CSR: C: 2.89 S: 2.35 R: 2.33
BIO: 2 species with no data: Betula seedling/sp; Quercus seedling/sp
BIO: Eurasian Boreal-montane 14%
BIO: Eurosiberian Boreo-temperate 14%
BIO: Oceanic Temperate 14%
BIO: European Temperate 14%
BIO: Eurosiberian Temperate 14%
BIO: Circumpolar Temperate 14%
BIO: European Southern-temperate 14%
Plot 2
CVS: class 42
ELL: No data for 2 species: Betula seedling/sp; Quercus seedling/sp
ELL: Light 5.2; Wetness 5.2; pH 4.9; Fertility 5.4
CSR: 2 species with no data: Betula seedling/sp; Tilia [spp]
CSR: C: 2.36 S: 2.79 R: 2.75
BIO: 3 species with no data: Betula seedling/sp; Quercus seedling/sp; Tilia [spp]
BIO: Oceanic Temperate 25%
BIO: European Temperate 50%
BIO: Eurosiberian Temperate 25%
Plot 3
CVS: class 42
ELL: No data for 1 species: Quercus seedling/sp
ELL: Light 4.9; Wetness 5.2; pH 5.9; Fertility 5.5
CSR: C: 2.74 S: 3.25 R: 2.49
BIO: 2 species with no data: Acer pseudoplatanus; Quercus seedling/sp
BIO: Circumpolar Wide-boreal 11%
BIO: Circumpolar Boreo-temperate 11%
BIO: Eurosiberian Wide-temperate 11%
BIO: European Temperate 22%
BIO: Eurosiberian Temperate 11%
BIO: Circumpolar Temperate 11%
BIO: European Southern-temperate 22%
我实际上不需要保留太多这些数据,我需要保留和转换前两行以及第 5/6 行(CSR)中的信息,我需要的是以下格式的表格:
PLOT CVS C S R
1 49 2.89 2.35 2.33
2 42 2.36 2.79 2.75
3 42 2.74 3.25 2.49
这甚至可以从现有的 txt 格式中做到吗?可悲的是,我对这个问题一无所知,而且谷歌搜索似乎也无济于事。非常感谢所有想法。
【问题讨论】:
-
如果您将上面的
structure(...)复制为数据,dput(some_tidyr_object)会是什么样子?
标签: r excel transformation txt