Reputation: 1
I have 7 datasets (53 variables each with varying numbers of rows, all > 100k) in .txt format. There is no header row but I know the field names and correct formats for each variable. I have tried using rbind:
df <- read.csv("filepath_to_textfile.txt", header = FALSE,
as.is = TRUE, stringsAsFactors = FALSE)
new_df <- rbind(c(hadm_id, subject_id,... obsinl24), df)
I get the following error message:
Error in rbind(c(hadm_id, subject_id, .... : object 'hadm_id' not found
I have also tried creating a dataframe:
fieldnames <- data.frame(hadm_id=integer(),
subject_id=integer(), ...
obsinl24)
but get the following error:
Error in as.data.frame.default(x[[i]], optional = TRUE) : cannot coerce class ‘"function"’ to a data.frame
Upvotes: 0
Views: 1445
Reputation: 1
The following code did just what I needed:
df <- read.csv("filepath_to_textfile.txt", header = FALSE, as.is = TRUE, stringsAsFactors = FALSE)
names(df) <- c("hadm_id", "subject_id",... "obsinl24")
Upvotes: 0