[SPSS] How can I copy values from a variable (column) and paste it below the other one by syntax?
I need to merge 10 columns and I cant do this only by copy paste.
I have this: [1]: https://i.imgur.com/I5DFV.jpg "tooltip"
var1 var2
1 3 6
2 4 7
3 5 8
4
5
.
.
.
and I want this:
newvar
1 3
2 4
3 5
4 6
5 7
6 8
If you want to create new lines (so you get two lines with one variable instead of one line with two variables), You can use varstocases like this:
varstocases /make NewVar from Var1 Var2/index=originVar(NewVar).
this will get both the old variables into the new one, and create an additional variable called originVar which will contain the name of the original variable that each number in NewVar came from.
ADDITION:
if your file was originally sorted by a specific variable(s) you can now just sort again by your original variable and by originVar. If you don't have a variable that conserves the original order, just create one before rustructure:
compute OrigOrder=$casenum.
restructure....
sort cases by OrigOrder originVar./* or by originVar OrigOrder.
Your example may imply that you already have empty lined to which you want to copy values from previous lines. This is a different situation, you can do it this way:
compute NewVar=Var1.
if missing(NewVar) NewVar=lag(Var2).
Related
I have a spreadsheet I have imported into OpenRefine. The creator encoded groups of information (records) in columns. I need to bring each of those groups of columns into its own row, along with all the relevant columns.
Using a simplified example, how would I go from this:
id foo1 foo2 foo3 bar1 bar2 bar3
1 4 6 a 7 9 b
2 5 5 a 8 8 b
3 6 4 a 9 7 b
To this:
id foobar1 foobar2 foobar3
1 4 6 a
1 7 9 b
2 5 5 a
2 8 8 b
3 6 4 a
3 9 7 b
I've been trying to think of a way forward with intermediate columns, but there are are 6 groups of 5 columns and I'm currently stuck.
I found a solution. The steps are:
Concat each group of columns into a single column (FOO_CONCAT, BAR_CONCAT)
Delete the now unneeded columns (foo1..3, bar1..3)
Transpose your CONCAT columns into a single column, no prefix, ignoring blanks, filling down other columns
Now FOO_CONCATs and BAR_CONCATs are all in the same column
Split that column into several columns...(using the separator you used in step 1)
Rename columns
Strip out prefixes (I had foo1:4, bar2:8, etc for clarity)
Transform to numbers (Edit cells -> Common Transforms -> toNumber)
Now you're ready to transpose,facet, etc
I think this is essentially the same has the solution you describe, but possibly with some shortcuts to avoid all the steps.
Given the example data you post I would:
On "Id" column select Edit column->Add column based on this column
from menu
Make new column name "foobar"
Use the GREL forEach(row.columnNames,cn,if(cn.startsWith("foo"),cells[cn].value,null)).join("|")+"~"+forEach(row.columnNames,cn,if(cn.startsWith("bar"),cells[cn].value,null)).join("|")
Once new "foobar" column exists, on this column use menu option Edit cells->Split multi-valued cells using the "~" character (as used in the GREL above)
The also on the "foobar" column use menu option Edit columns->Split into several columns, using the "|" character as in the GREL above
Finally on ID column use menu Edit cells->Fill down
This should result in the output you describe - if you don't need the original columns at this point you can either remove them, or (sometimes quicker) export the first X columns that have the reconfigured data using the custom tabular exporter, and then import that data into a new project.
You can modify the GREL to deal with the exact column groupings you have. In my example I've used the column naming to group the values, but if that isn't the reality of the data you are dealing with you can use GREL like:
forEach(row.columnNames.slice(1,4),cn,cells[cn].value).join("|")+"~"+forEach(row.columnNames.slice(4,8),cn,cells[cn].value).join("|")
Which uses the 'slice' function to select certain columns rather than using some aspect of the column name to select them.
I have a text file "celldata.txt" containing a very simple table of data.
1 2 3 4
5 6 7 8
9 10 11 12
1 2 3 4
2 3 4 5
The problem is when it comes to accessing the data at a certain column and row.
My approach has been to load using loadTable.
Table table;
int numCols;
int numRows;
void setup() {
size(200,200);
table = loadTable("celldata.txt","tsv");
numRows=table.getRowCount();
numCols=table.getColumnCount();
}
void draw() {
background(255);
fill(0);
text(numRows +" "+ numCols,100,100); // Check num of cols and rows
println(table.getFloat(0,0));
}
Question 1: When I do this, it says the number of rows are 5 and the number of columns is just 1. Why is it not 5 x 4?
Question 2: Why is table.getFloat(0,0) "NaN" instead of the first element of the data?
I want to use a much bigger matrix later and access certain elements (of type double) with something like getFloat(i,j) and be able to loop through all elements.
Using the same example data as I, can someone please help me understand what is wrong with my code and how to access the textfile's data? Should I be using another method than loadTable?
You've told Processing that the file contains tab separated values (by using the "tsv" option), but your file contains space separated values.
Since your file does not contain any tabs, it reads the entire row as a single value. So the 0,0 position of your table is 1 2 3 4, which isn't a number- hence the NaN. This is also why it thinks your table only has one column.
You should modify your celldata.txt file to actually be separated by tabs instead of spaces:
1 2 3 4
5 6 7 8
9 10 11 12
1 2 3 4
2 3 4 5
You could also separate them by commas and then use the "csv" option.
If you're still having trouble, you can see what Processing is reading in by adding saveTable(table, "data/new.csv"); to the end of your setup() function and then looking at that file. It will be a list of values separated by commas, so you can see exactly where Processing thinks the cells of the table are.
I have a problem in SAS, I would like to know how can I input several columns in only one column(put everything in a single variable)?
For example, I have 3 columns but I would like to put this 3 columns in only one column.
like this:
1 2 3
1 3 1
3 4 4
output:
1
1
3
2
3
4
3
1
4
I'm assuming you're reading from a file, so use the trailing ## to keep reading variables past the end of the line:
data want;
input a ##;
cards;
1 2 3
1 3 1
3 4 4
;
run;
If the dataset is not big just split it to several small data set with one variable each, then rename all variables to one name and concatenate vertiacally using simple set statement. I am sure there are more elegant solutions than this one and if your data set is big let me know, I will write the actual code needed to perform this action with optimal coding
I'd like to drop all variables with a certain character segment in the name. Example below:
var1 var2 var3 o_var1 o_var2 o_var3
1 1 1 3 2 5
7 3 4 . -1 5
I'd like to only keep those without the "o_" in front. I could sort positionally and keep the first x number of variables, but with 100s of variables with this pattern, I wanted to seek an alternative.
Just use the colon wildcard operator.
data want;
set have (drop=o_:); /* drops all variables beginning with o_ */
run;
After run Macro on my Excel file (.xlsx) I have output like this:
With 3 first empty columns for each row.
Then when I try to save this as Text with Tab delimited I got output (.txt) but without 3 first empty rows:
Others empty rows was displayed properly as tabulation, but these 3 first rows was somehow deleted. But in my case I need this.
Any solution how to avoid that situation? Adding it manually don't be a soltuion, because I have huge amounts of data.
Thanks.
In the First Row of First 3 Columns enter any dummy special character like "#".
Example:
# # # 1 999 999 2 10 3
Just enter these # symbols in first ROW. and now save the excel as Tab delimited text file. I get output as below.
Output:
# # # 1 999 999 2 10 3
1 999 999 2 10 3
1 999 999 2 10 3
1 999 999 2 10 3
Hope this solves the problem in this case. If the empty rows or columns are not consistent, then the code present in Alex page can be used.
Put a formula in the last columns of rows that are empty that evaluate to empty (e.g. =""). And then export.