Okay. Here is a modification that does four single line plots.
at_df<-read.table(text=
"Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current
Bank_Savings Bank_NA
$10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307
$25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891
$40 3 2.24 29.
Ivan and Bert, thank you so much for your help.
Ivan, your solution worked perfectly. I didn't really understand how to
do string processing on a vector of strings, and your solution
demonstrated it for me. I modified it to work with the tidyverses'
stringr library in this way:
bg3_race_sum <-
Anupa,
I think your best bet with your data would be to tidy it up in Excel, read
it into R using something like the readxl package and then supply some
sample data is the dput() function.
In the case of a large dataset something like dput(head(mydata, 100))
should supply the data we need. Just
Reposting the data did not help. We do not like to guess, and doing so takes a
great deal of time that is likely wasted.
Rows are observations.
Columns are variables.
In Excel, the first row will be variable names and all subsequent rows will be
observations.
Income is the first variable. It has
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