I'm working on a software online store width magento CE 1.9
the license pricing is a bit tricky:
each software product has a price for the first license, each additional license of the same product is cheaper.
for example:
1 license (Product Quantity:1) 200$
2 licenses (Product Quantity:2) 200$ (main price of first license) + 20$ (price of additional license) = 220$
3 licenses (Product Quantity:3) 200$ + 2 x 20$ = 240$
4 licenses (Product Quantity:4) 200$ + 3 x 20$ = 260$
i already tried Tier Prices, but this would only allow reducing the price of all licenses.
Many thanks in advance!
Is there any limit on the number of items you can sell? Because if you limit for example the number of licenses to be purchased to max 6, by doing some simple maths you find out that you can apply the following prices and use Tier Prices:
Price single license: 200$
+-----+---------+
| Qty | Price |
+-----+---------+
| 2 | 110$ | = (200+20)/2 <--- The divider is #items
| 3 | 80$ | = (200+20*2)/3
| 4 | 65$ | = (200+20*3)/4
| 5 | 56$ | = (200+20*4)/5
| 6 | 50$ | = (200+20*5)/6
+-----+---------+
But after six numbers don't round that nicely, so this is just a partial solution. Hope it helps you anyway. :)
Related
I have setup a table rate shipping in Magento 1.9. I need to exclude some region from shipping.
For eg., In CSV there are 2 rows, in this format:
Country code - Region - postal - thrashhold - shipping cost
1. FR - Corsica - * - 0 - 18
2. * - * - * - 0 - 50
Currently, If I select France - Corsica in shipping calculator, then it returns shipping cost as 18, which is correct. If I select France - any other region then it shows shipping cost 50, which is not as requirement. Is it possible to restrict other regions, if I select France - any other region?
As per your CSV format condition on 2nd line is applied for all the location except FR-Corsica.You need to remove the second line then It must work as expected.
I think, I got it. I need to remove the regions from tables: directory_country_region and directory_country_region_name, then it wont give option to select other regions of France. Then the shipping can be restricted for these regions.
Only change order of rows
Example:
Country code - Region - postal - thrashhold - shipping cost
1. * - * - * - 0 - 50
2. FR - Corsica - * - 0 - 18
I am dealing with panel data with a time gap. but not the same time gap.
Year variable has 1980, 1990, 2000, 2010, 2015, and 2020.
As you can see it has a 10 year time gap up to 2010, but five-years between 2010 and 2020.
After setting up for panel data structure in Stata (using xtset command), I wanted to use the time (lag) operator for my main variable interest and outcome variable. However, when I use L. in front of the variable name, Stata tells me no observations.
Isn't it automatically taking the previous time period?
Or do I create manually the lag variables?
What we need to know, but can't see, is exactly what code you used, specifically xtset. But it's possible to guess. Here I fabricate one panel; a structure with more panels doesn't show different problems.
clear
input Y Year
1 1980
2 1990
3 2000
4 2010
5 2015
6 2020
end
gen ID = 42
If you just specify panel and year variables, Stata expects unit spacing, so lag 1 with yearly data means "the previous year". Asking for a lag 1 variable is legal, but all values are missing.
xtset ID Year
gen lag1 = L1.Y
If you specify delta(5) then a lag 1 variable is missing in all but two observations.
xtset ID Year, delta(5)
gen lag5 = L1.Y
If you try delta(10) that won't work (unless you drop 2015).
xtset ID Year, delta(10)
You can also do this:
bysort ID (Year) : gen prev = Y[_n-1]
Bringing your results together
list , sep(0)
+------------------------------------+
| Y Year ID lag1 lag5 prev |
|------------------------------------|
1. | 1 1980 42 . . . |
2. | 2 1990 42 . . 1 |
3. | 3 2000 42 . . 2 |
4. | 4 2010 42 . . 3 |
5. | 5 2015 42 . 4 4 |
6. | 6 2020 42 . 5 5 |
+------------------------------------+
The no observations error message presumably comes from some other command.
Hi currently running into an issue with magento 1.9 tax calculations.
I have a product setup as £10.82 with VAT of 20% to be added. The price including VAT is £12.98.
When 1 product is added to the cart everything is ok but if I add 7 the total should be £90.86 but its showing as:
Subtotal - £75.74
VAT - £15.15
Total - £90.89
Therefore 3p of VAT extra is added. Please advise on how I can fix this.
This is not a bug. Total £90.89 is correct but if you want total sum without "extra" 3p of VAT, you can select a different method of calculating VAT.
£10,82 * 20% = £2,164 = £2,16
total: 7 * (£10,82+£2,16) = £90,86
vs
7 * £10,82 = £75,74
£75,74 * 20% = £15,148 = £15,15
total: £75,74 + £15,15 = £90,89
Check Tax Calculation Method in Settings.
I have data records like this:
Name customerID revenue(Mio) premium
Michael James 078932832 2.7 y
Susan Miller 024383490 3.9 n
John Cooper 021023023 2.1 y
How do I get the records - divided into the premium flag - each with the lowest revenue (=Flop 10)?
The result should be given as:
Nr Name customerID revenue(Mio) premium
1 John Cooper 021023023 2.1 y
2 Michael James 078932832 2.7 y
3 Andrew Murs 044834399 3.0 y
. ... ..... ... .
10 th entry with flag y
1 Susan Miller 024383490 3.9 n
. ... ..... ... .
10 th entry with flag n
As you see the list is ordered ascending (beginning with the lowest revenue).
I guess you should use split
Considering A is your load statement
A = load 'data' as (Nr,Name,customerID,revenue,premium);
B = split A into PRE if premium =='y', NONPRE if premium == 'n';
C = order PRE by revenue asc;
D = order NONPRE by revenue asc;
Disclaimer: Be careful while using split as null records get dropped. I have not compiled this code.
I created a toy example of my code below.
In this toy example I would like to create a measure of all higher prices minus lower prices within a self-created reference group. So within each reference group, I would like to take each individual and subtract its price value from all higher price values from other individuals in the same group. I do not want to have negative differences. Then I would like to sum all these differences. In creating this code I found some help here:
http://www.stata.com/support/faqs/data-management/try-all-values-with-foreach/
However, the code didn't work perfectly for me, because my dataset is quite large (several 100K obs) and the examples on the website and my code only work until the numlist maximum of 1600 in Stata. (I am using version 12). The toy example with the auto dataset works, due to small size of the dataset.
I would like to ask if someone has an idea how to code this more efficiently, so that I can get around the numlist restriction. I thought about summing the differences directly without saving them in intermediate variables, but that also blow up the numlist restriction.
clear all
sysuse auto
ren headroom refgroup
bysort refgroup : egen pricerank = rank(price)
qui: su pricerank, meanonly
gen test = `r(max)'
su test
foreach i of num 1/`r(max)' {
qui: bys refgroup: gen intermediate`i' = price[_n+`i'] -price if price[_n+`i'] > price
}
egen price_diff = rowmax(intermediate*)
drop intermediate*
If I understand this correctly, this isn't even a problem that requires explicit loops. The sum of all higher prices is just the difference between two cumulative sums. You might need to think through what you want to do if prices are tied.
. clear
. set obs 10
obs was 0, now 10
. gen group = _n > 5
. set seed 2803
. gen price = ceil(1000 * runiform())
. bysort group (price) : gen sumhigherprices = sum(price)
. by group : replace sumhigherprices = sumhigherprices[_N] - sumhigherprices
(10 real changes made)
. list
+--------------------------+
| group price sumhig~s |
|--------------------------|
1. | 0 218 1448 |
2. | 0 264 1184 |
3. | 0 301 883 |
4. | 0 335 548 |
5. | 0 548 0 |
|--------------------------|
6. | 1 125 3027 |
7. | 1 213 2814 |
8. | 1 828 1986 |
9. | 1 988 998 |
10. | 1 998 0 |
+--------------------------+
Edit: For what the OP needs, there is an extra line
. by group : replace sumhigherprices = sumhigherprices - (_N - _n) * price
If I understand the wording of the problem correctly, maybe this can help. It uses joinby (new observations are created and depending on the size of the original database, you may or not hit the Stata hard-limit on number of observations). The code reproduces the results that would follow from the code of the original post. This is a second attempt. The code before this final edit did not provide the sought-after results. The wording of the problem was somewhat difficult for me to understand.
clear all
set more off
* Load data
sysuse auto
* Delete unnecessary vars
ren headroom refgroup
keep refgroup price
* Generate id´s based on rankings (sort)
bysort refgroup (price): gen id = _n
* Pretty list
order refgroup id
sort refgroup id price
list, sepby(refgroup)
* joinby procedure
tempfile main
save "`main'"
rename (price id) =0
joinby refgroup using "`main'"
list, sepby(refgroup)
* Do not compare with itself and drop duplicates
drop if id0 >= id
* Compute differences and max
gen dif = abs(price0 - price)
collapse (max) dif, by(refgroup id0)
list, sepby(refgroup)