将丢失的数据从.txt文件导入现有数据框

Question

我有一个如下结构的数据框架：

structure(list(rowNumber = c(0, 1, 2, 3, 4, 5), rowLabel = c("IPU1", 
"IPU1", "IPU1", "IPU1", "IPU1", "IPU1"), SampleTime = c(1.317302056, 
1.327302056, 1.337302056, 1.347302056, 1.357302056, 1.367302056
), F0 = c(238.4728491, 238.4728491, 238.4728491, 238.4728491, 
230.4871243, 235.301327), mother = c("french", "french", "french", 
"french", "french", "french"), level = c("bil", "bil", "bil", 
"bil", "bil", "bil"), name = c("clemence", "clemence", "clemence", 
"clemence", "clemence", "clemence"), task = c("film", "film", 
"film", "film", "film", "film"), lang = c("fr", "fr", "fr", "fr", 
"fr", "fr"), f0st = c(94.7721745186803, 94.7721745186803, 94.7721745186803, 
94.7721745186803, 94.1825081930544, 94.5403877585993), gender = c("F", 
"F", "F", "F", "F", "F"), f0stnorm = c(1.11260538951537, 1.11260538951537, 
1.11260538951537, 1.11260538951537, 0.934191841072306, 1.0424743738019
)), row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame"))

但是我意识到一些数据丢失了，例如，我没有name = alan & task = file & lang = eng的值，但是我在一个单独的.txt文件中有这些数据。

Answer 1

假设txt文件有一个逗号分隔符:还假设您的df是df1，txt文件是df2.txt

library(data.table)

fwrite(df1, "file location/df2.txt", append = TRUE)
df1<-fread(df2.txt)