Problems converting from wide to long using reshape - tibble issue? [duplicate]

问题

I am trying to convert my data from wide to long. I have an id variable and 131 columns of time data. All columns are integer format. The data was imported in csv format.

> class(ECGHR)
[1] "tbl_df"     "tbl"        "data.frame"

Here are the first 6 rows of data for 22 time-varying variables:

> head (ECGHR)
# A tibble: 6 × 132
 id    T0    T1    T2    T3    T4    T5    T6    T7    T8    T9   T10   T11  T12   T13   T14   T15   T16   T17   T18   T19   T20   T21   T22
<int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int>
1  2003    70    65    69    71    68    74    67    65    60    66    59    99    74    73    87    94    88    88    98    73    72    63    79
2  2004    98   105    85    87    83    83    77    71    75    73    73    71    87    74    79    75    72    71    71    68    86    72    73
3  2008    93    92    91    90    93    88    89    83    93    96    95    94    89    91    87    93    88   100    93    92    89    93    83
4  2010    71    69    74    71    74    68    74    68    78    75    81    72    74    77    74    70    64    68    65    69    66    73    75
5  2018    90    86    93    91    86    82    97    95    95    83    79    88    78    92    86    94    83    79    96    91    72    78    80
6  2019    60    58    59    58    66    68    73    77    58   110    56    56    53    49    73    56    45    50    46    45    46    54    50

Here is my reshape code:

ECGHR_long=reshape(ECGHR, varying=c(2:132), direction="long", idvar="id", sep="")

Here is the warning message:

Error in 'row.names<-.data.frame'('tmp', value = paste(d[, idvar], times[1L], : invalid 'row.names' length In addition: Warning message: Setting row names on a tibble is deprecated.

I am used to working with data frames and I can't work out why it won't reshape (I'm new to R). Do I need to convert it to a dat frame? I'd be very grateful for any insights!

回答1:

To use the reshape function in the base of R try this -- we have omitted idvar="id" since it can figure that one out itself but it won't hurt if you add it in.

reshape(as.data.frame(ECGHR), dir = "long", varying = list(2:ncol(ECGHR)),
  times = names(ECGHR)[-1])
##           id time T0
## 2003.T0 2003   T0 70
## 2004.T0 2004   T0 98
## 2008.T0 2008   T0 93
## 2010.T0 2010   T0 71
## 2018.T0 2018   T0 90
## 2019.T0 2019   T0 60
## etc.

or using the reshape2 package:

library(reshape2)
melt(ECGHR, id.vars = 1)

##     id variable value
## 1 2003       T0    70
## 2 2004       T0    98
## 3 2008       T0    93
## 4 2010       T0    71
## 5 2018       T0    90
## 6 2019       T0    60

Note: We used this input:

Lines <- "id    T0    T1    T2    T3    T4    T5    T6    T7    T8    T9   T10   T11  T12   T13   T14   T15   T16   T17   T18   T19   T20   T21   T22
1  2003    70    65    69    71    68    74    67    65    60    66    59    99    74    73    87    94    88    88    98    73    72    63    79
2  2004    98   105    85    87    83    83    77    71    75    73    73    71    87    74    79    75    72    71    71    68    86    72    73
3  2008    93    92    91    90    93    88    89    83    93    96    95    94    89    91    87    93    88   100    93    92    89    93    83
4  2010    71    69    74    71    74    68    74    68    78    75    81    72    74    77    74    70    64    68    65    69    66    73    75
5  2018    90    86    93    91    86    82    97    95    95    83    79    88    78    92    86    94    83    79    96    91    72    78    80
6  2019    60    58    59    58    66    68    73    77    58   110    56    56    53    49    73    56    45    50    46    45    46    54    50"

ECGHR <- read.table(text = Lines, header = TRUE)

来源：https://stackoverflow.com/questions/43228109/problems-converting-from-wide-to-long-using-reshape-tibble-issue

标签

reshape