Read

Try this:

library(tidyverse)

text <-  "x1  x2  x3 x4\n1 B12 \n2       C23 \n322 B32      D34 \n4

       D44 \n51     D53\n60 D62         "

# read in the data as characters and replace multiple blanks with single

blank

input <- read_lines(text)

input <- str_replace_all(input, ' +', ' ')

mydata <- read_delim(input, ' ', col_names = TRUE)

Warning: 5 parsing failures.
row col  expected    actual         file
  1  -- 4 columns 3 columns literal data
  2  -- 4 columns 3 columns literal data
  4  -- 4 columns 3 columns literal data
  5  -- 4 columns 2 columns literal data
  6  -- 4 columns 3 columns literal data

mydata

# A tibble: 6 x 4
     x1 x2    x3    x4
  <dbl> <chr> <chr> <lgl>
1     1 B12   NA    NA
2     2 C23   NA    NA
3   322 B32   D34   NA
4     4 D44   NA    NA
5    51 D53   NA    NA
6    60 D62   NA    NA

Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.


Jim Holtman
*Data Munger Guru*


*What is the problem that you are trying to solve?Tell me what you want to
do, not how you want to do it.*


On Mon, Feb 22, 2021 at 4:49 PM Val <valkremk at gmail.com> wrote:

That is my problem. The spacing between columns is not consistent.  It
  may be  single space  or multiple spaces (two or three).

On Mon, Feb 22, 2021 at 6:14 PM Bill Dunlap <williamwdunlap at gmail.com>
wrote:

You said the column values were separated by space characters.
Copying the text from gmail shows that some column names and column
values are separated by single spaces (e.g., between x1 and x2) and
some by multiple spaces (e.g., between x3 and x4.  Did the mail mess
up the spacing or is there some other way to tell where the omitted
values are?

-Bill

On Mon, Feb 22, 2021 at 2:54 PM Val <valkremk at gmail.com> wrote:

I Tried that one and it did not work. Please see the error message
Error in read.table(text = "x1  x2  x3 x4\n1 B12 \n2       C23
\n322 B32      D34 \n4            D44 \n51     D53\n60 D62         ",
:
  more columns than column names

On Mon, Feb 22, 2021 at 5:39 PM Bill Dunlap <williamwdunlap at gmail.com>

wrote:

Since the columns in the file are separated by a space character, "

",

add the read.table argument sep=" ".

-Bill

On Mon, Feb 22, 2021 at 2:21 PM Val <valkremk at gmail.com> wrote:

Hi all, I am trying to read a messy data  but facing

difficulty.  The

data has several columns separated by blank space(s).  Each column
value may have different lengths across the rows.   The first
row(header) has four columns. However, each row may not have the

four

column values.  For instance, the first data row has only the

first

two column values. The fourth data row has the first and last

column

values, the second and the third column values are missing for

this

row..  How do I read this data set correctly? Here is my sample

data

set, output and desired output.   To make it clear to each data

point

I have added the row and column numbers. I cannot use fixed width
format reading because each row  may have different length for  a
given column.

dat<-read.table(text="x1  x2  x3 x4
1 B22
2         C33
322 B22      D34
4                 D44
51         D53
60 D62            ",header=T, fill=T,na.strings=c("","NA"))

Output
      x1  x2     x3     x4
1   1     B12 <NA> NA
2   2    C23 <NA>  NA
3 322  B32  D34   NA
4   4   D44  <NA>  NA
5  51 D53  <NA>   NA
6  60 D62  <NA>  NA


Desired output
   x1   x2     x3       x4
1   1    B22    <NA>   NA
2   2   <NA>  C33     NA
3 322  B32    NA      D34
4   4   <NA>   NA      D44
5  51  <NA>  D53     NA
6  60   D62   <NA>   NA

Thank you,