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R: Obtain the matched data set from Matching package - not that easy


R: Obtain the matched data set from Matching package - not that easy

By : user2950274
Date : November 17 2020, 11:52 AM
help you fix your problem This is actually fairly straightforward to reconstruct, if you note that the values in index.treated are repeated M number of times, for those treated cases for which it is possible to find matches within the caliper distance.
So, in your case, the the first two elements of index.control are the index numbers of the cases which are mapped to the first two elements of index.treated. You can retrieve the entire list and organize it for one row per treated case as follows:
code :
dfTC = data.frame(idxTreated = rr$index.treated, idxControl = rr$index.control,
                  numControl = factor(rep(1:2), labels = paste0("Control", 1:2)))
dfTCWide = reshape2::dcast(dfTC, idxTreated ~ numControl,
                           value.var = "idxControl")
> head(dfTCWide)
  idxTreated Control1 Control2
1          1      271      386
2          3      216      259
3          4      254      359
4          5      230      255
5          6      188      220
6          8      242      279


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MySQL: Compare two tables and find only matching data/filter first table by matched columns in second

MySQL: Compare two tables and find only matching data/filter first table by matched columns in second


By : user6692400
Date : March 29 2020, 07:55 AM
may help you . You need to join those two tables based on those 3 columns then it will return all the records with matched condition
code :
select * from sales_main sm join sales_filter sf on (sm.Cust_ID=sf.Cust_ID and sm.Invoice_Date=sf.Invoice_Date and  sm.Invoice=sf.Invoice)
How to obtain data on one table with matching columns through 3 tables using php?

How to obtain data on one table with matching columns through 3 tables using php?


By : guocai He
Date : March 29 2020, 07:55 AM
around this issue If you are going to program using PHP it is highly recommended that you also learn to SQL. I say that because 80% (don't quote me on this) of PHP applications are built with a database in the back end. But enough of that, let's get to your question. SQL has a nice way of combining data using the JOIN keyword. What it does is allow you to join multiple tables as long as they have a relationship (or a column that is present on both tables with the same value). In your case table_1 corresponds to table_2 which corresponds to table_3. To get data that is on table_3 you can simply do the following.
code :
SELECT table_1.user_id, table_3.price
FROM table_1
JOIN table_2
    ON table_1.serial = table_2.serial
JOIN table_3
    ON table_2.product_id = table_3.product_id
WHERE table_1.user_id = 35;
user_id | price
--------|------
35      | 10
$sql = "SELECT table_1.user_id, table_3.price ";
$sql .= "FROM table_1 ";
$sql .= "JOIN table_2 ";
$sql .= "ON table_1.serial = table_2.serial ";
$sql .= "JOIN table_3 ";
$sql .= "ON table_2.product_id = table_3.product_id ";
$sql .= "WHERE table_1.user_id = 35";
how to write condition using j-easy easy-rules to find any matching value in a set

how to write condition using j-easy easy-rules to find any matching value in a set


By : Ralph Hosford
Date : March 29 2020, 07:55 AM
wish helps you I would like to write a condition to evaluate if any one of the set values in the facts, meets the condition. , That's a MVEL question rather than an EasyRules question.
code :
@Test
public void testConditionOnSet() {
    Set<ItemDetail> itemDetailSet = new HashSet<>();
    itemDetailSet.add(new ItemDetail(false));
    itemDetailSet.add(new ItemDetail(false));
    itemDetailSet.add(new ItemDetail(true));

    String condition = "active = false;\n" +
            "foreach (itemDetail : itemDetails) {\n" +
            "   active = active && itemDetail.active;\n" +
            "}\n" +
            "System.out.println(\"Is there a non active itemDetail?: \" + !active);";
    Map facts = new HashMap();
    facts.put("itemDetails", itemDetailSet);

    Object result = MVEL.eval(condition, facts);
}

static class ItemDetail {
    private boolean active;

    public ItemDetail(boolean active) {
        this.active = active;
    }

    public boolean isActive() {
        return active;
    }
}
matching data in two excel sheets, and storing the data got matched

matching data in two excel sheets, and storing the data got matched


By : user3105422
Date : March 29 2020, 07:55 AM
this one helps. From what I understand, you want to do a string aggregation on the weight column. For each name, circumference instance. The data is already all present in the mf dataframe, so there should be no need to merge it. Something like the following should work:
code :
agg_df = mf.groupby(['name','circumference'])['weight'].apply(','.join).reset_index()
agg_df.to_excel("newoutput.xlsx")
R: Matching package, output datasets for matched data

R: Matching package, output datasets for matched data


By : cashforcarsuk
Date : March 29 2020, 07:55 AM
I hope this helps you . I know this is an old post but thought I would share
Given the following example of matching directly on given variables "age" (within 5 years) and "married" within the example data lalonde in the matching package:
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