I have a dataset with variables that start with category 'RC' and end wih a number that corresponds to a brand. The middle letter refers to a product.
For example:
RC_x_1 RC_b_1 RC_g_1 RC_x_2 RC_b_2 RC_g_2 etc.
Each variable has 5 values. I want to compute a new variable with all variables per brand that score within top 2 values.
So:
RC_x_1 (1 or 2) OR RC_b_1 (1 or 2) OR RC_g_1 (1 or 2) = RC_all_1
RC_x_2 (1 or 2) OR RC_b_2 (1 or 2) OR RC_g_2 (1 or 2) = RC_all_2
I tried some wild card options like:
If RC_""1 = 1 OR RC""_1 = 2 RC_all_1 =1.
But it doesn't work :) Any ideas how to create something like this?
Thanks mucho!
Related
I'm trying to compute a new variable using 3 other variables. If all 3 conditions are positive, the new variable gives 1. My problem: if just 1 or 2 of these conditions are present, I get a value 0 when it needs to be a system missing.
In order to get SPSS to calculate a value only when you have values in all three variables you can use this:
if nmiss(E’sept_preTx, Eope’gem_preTx, TRpieksnelheid_t1)=0
DD_new=(E’sept_preTx < 10) & (Eope’gem_preTx >= 15) & (TRpieksnelheid_t1 > 2.8).
the nmiss counts the missing values, and the original calculation is carried out only if tere are none.
In the documentation and all examples I can find... in terms of nurse scheduling at least, everyone just declares shift values within the search space of {1,4} lets say for shift 1,2,3,4....
solver = pywrapcp.Solver("schedule_shifts")
num_nurses = 4
num_shifts = 4 # Nurse assigned to shift 0 means not working that day.
num_days = 7
# [START]
# Create shift variables.
shifts = {}
for j in range(num_nurses):
for i in range(num_days):
shifts[(j, i)] = solver.IntVar(0, num_shifts - 1, "shifts(%i,%i)" % (j, i))
shifts_flat = [shifts[(j, i)] for j in range(num_nurses) for i in range(num_days)]
# Create nurse variables.
nurses = {}
for j in range(num_shifts):
for i in range(num_days):
nurses[(j, i)] = solver.IntVar(0, num_nurses - 1, "shift%d day%d" % (j,i))
I want to avoid the use of range of values when I call solver.IntVar(lowerbound, upperbound, ...)
I want IntSolver([available values that you can choose], ...)
I created a matrix of all shifts as the columns flowing from the first day to last. My row indexes don't matter but in each day/shift column, I have the index values of nurses in ranked descending order of who bid the highest for that shift. I want to create then a constraint where if I choose a nurse, I choose the maximum bid that is allowed via other constraints from the column, however I don't know how to do that given the limited documentation ortools has with python IntVar.
Can you try
solver.IntVar([values...], 'name')
It should work.
See https://github.com/google/or-tools/blob/master/examples/python/einav_puzzle2.py
I have a technical issue with access graphs: I have a table in Access database with 4 fields: xValue, yValue, round, partOfRound
What I want: there are always 2 rounds, each round has 2 parts. I need to get a series per round per part (so from round 1 part 1, round 1 part 2, round 2 part 1, round 2 part 2) with all xValues and yValues in a chart.
But then I have an other problem:The xValue isn't a good number to show, this is needing to be this number divided by a number from an other table (see this as number in table3) where the row of table 3 equels the identifier with the identifier I use for my chart. (IDtable2=IDtable3)
The final result will be 4 lines with the data in my graph, so 4 series.
But when I use the wizard for making graphs, I can only set 1 field to the series value, so it will see a round as just 1 series instead of 2.
How do I solve this problem?
Kind regards
Kristof
What type of graph - just a column?
Concatenate the round and partOfRound fields.
Try changing the graph RowSource to:
TRANSFORM Sum(Table2.yValue) AS SumOfyValue SELECT Table2.xValue FROM Table2 GROUP BY Table2.xValue PIVOT [round] & "_" & [partOfRound];
Possible SQL to include table join to calculate the division:
TRANSFORM Sum(Table2.yValue) AS SumOfyValue
SELECT Round([xValue]/[Factor],0) AS x
FROM Table3 INNER JOIN Table2 ON Table3.PK_Table3 = Table2.FK_Table3
GROUP BY Round([xValue]/[Factor],0)
PIVOT [round] & "_" & [partOfRound];
For both queries, I had to open the graph editor (double click the graph) and from the menu click on "By Column" button to get the x values on the x axis.
I do hope round is not an actual name as it is a reserved word and should not use reserved words as names for anything.
Is is possible in SPSS to store a value in a variable (not a variable created in a data set)?
For example I have a loop for which I want to pass the value 4 to all the locations in the loop that say NumLvl.
NumLvl = 4.
VECTOR A1L(NumLvl-1).
LOOP #i = 1 to NumLvl-1.
COMPUTE A1L(#i) = 0.
IF(att1 = #i) A1L(#i) = 1.
IF(att1 = NumLvl) A1L(#i) = -1.
END LOOP.
EXECUTE.
You can do this using DEFINE / !ENDDEFINE SPSSs Macro Facility, for example:
DEFINE !MyVar () 4 !ENDDEFINE.
You can then use !MyVar as a substitute for 4 wherever in your syntax you wish.
See DEFINE / !ENDDEFINE documentation for further notes.
Im looking for a way to loop through variables (eg week01 to week52) and count the number of times the value changes across the them. For example
week01 to week18 may be coded as 1
week19 to week40 may be coded as 4
and week 41 to 52 may be coded as 3
That would be 2 transistions within the data.
How could i go about writing a code that can find me this information? I'm rather new to this and some help to get me in the right direction would be very appreciated.
You can use the DO REPEAT command to loop through variable lists. Below is an example of using this command to create a before date and after date to compare, and increment a count variable whenever these two variables are different.
data list fixed / observation (A1).
begin data
1
2
3
4
5
end data.
*making random data.
vector week(52).
do repeat week = week1 to week52.
compute week = RND(RV.UNIFORM(0.5,4.4)).
end repeat.
execute.
*initialize count to zero.
compute count = 0.
do repeat week_after = week2 to week52 / week_before = week1 to week51.
if week_after <> week_before count = count + 1.
end repeat.
execute.