I have this sample code to create a new data frame 'new_data' from the existing data frame 'my_data'.
new_data = NULL
n = 10 #this number correspond to the number of rows in my_data
conditions = c("Bas_A", "Bas_T", "Oper_A", "Oper_T") # the vector characters correspond to the target column names in my_data
for (cond in conditions){
for (i in 1:n){
new_data <- rbind(new_data, c(cond, my_data$cond[i]))
}
}
The problem is that my_data$cond
(where cond is a variable, and not the column name) is not accepted.
How can I call a column of a data frame by using, after the dollar sign, a variable value?
To access a column, use:
my_data[ , cond]
or
my_data[[cond]]
The i
th row can be accessed with:
my_data[i, ]
Combine both to obtain the desired value:
my_data[i, cond]
or
my_data[[cond]][i]
I guess you need get()
.
For example,get(x,list)
, where list
is the list and x
is the variable(can be a string), which equals list$x
.
But in get(x,list)
, x
can be a variable while using $
, x
cannot be a variable.
$
works on columns, not individual column objects. It's a form of vectorization. The code
corrections$BookDate = as.Date(corrections$BookDate, format = "%m/%d/%Y")
converts the contents of the BookDate
column of the corrections
table from strings to Date
objects. It performs it in one operation, assignment.
Do the following and it will fix your problem:
new_data <- rbind(new_data, c(cond, my_data$cond))
You will often want to select an entire column, namely one specific variable from a data frame. If you want to select all elements of the variable diameter, for example, both of these will do the trick:
dataframe_name[,column_position]
dataframe_name[,"column_name"]
However, there is a short-cut. If your columns have names, you can use the $
sign:
dataframe_name$column_name
来源:https://stackoverflow.com/questions/12389318/dollar-sign-before-a-variable