Conosci SQL? In questo modo potresti evitare il problema con Altre informazioni con indici diversi per chiavi diverse. Potresti creare una query per la tabella JMP per ottenerla in questo formato:
Quindi crea tabelle di riepilogo e dividi e uniscile insieme
riepilogo:
diviso:
split aggiornato al sommario:
Names Default To Here(1);
dt = Current Data Table();
dt_query = Query(
Table(dt, "INFO"),
"\[
select t1.assay, t1."Useful info 2" as "Control Lot number",
t1."Useful info 4" as "Control result", t1."Value for other info", t2."Value for other info"
from INFO t1
join INFO t2 on "Result for " || t1."Other info" = t2."Other info" and t1.assay = t2.assay
]\"
);
dt_summary = dt_query << Summary(
Group(:Assay, :Control Lot number, :Control result),
Freq("None"),
Weight("None"),
Link to original data table(0)
);
dt_split = dt_query << Split(
Split By(:Value for other info),
Split(:Value for other info 2),
Group(:Assay),
Remaining Columns(Drop All),
Sort by Column Property
);
dt_summary << Update(With(dt_split), Match Columns(:Assay = :Assay));
//Close(dt_summary, No save);
Modificare:
Ho dovuto ricodificare le colonne di dati originali Altre informazioni Valori "Informazioni utili X" in "Informazioni utili X" (minuscolo) per far funzionare la query. Potrebbe anche essere fatto nella query SQL
Lo farei in un paio di parti
- Ottenere il dosaggio, il numero di lotto di controllo e il risultato del controllo può essere fatto abbastanza facilmente con il riepilogo
- Riposarsi è un po' più difficile in quanto gli altri indici informativi cambiano (se fossero sempre gli stessi, molto probabilmente sarebbe abbastanza semplice Ricodifica e Dividi)
- A seconda del raggruppamento (solo dosaggio? dosaggio + numero di lotto di controllo?) Vorrei scorrere la tabella dei dati e aggiungere valori man mano che procedo utilizzando gli array associativi
Il codice è molto disordinato (in parte a causa dell'impossibilità di utilizzare For Each e della mia pigrizia):
Names Default To Here(1);
dt = New Table("Untitled",
Add Rows(22),
New Column("Assay", Numeric, "Continuous", Format("Best", 12), Set Values([1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3])),
New Column("Useful info 1",
Character(18),
"Nominal",
Set Values(
{"Control Lot number", "Control Lot number", "Control Lot number", "Control Lot number", "Control Lot number", "Control Lot number",
"Control Lot number", "Control Lot number", "Control Lot number", "Control Lot number", "Control Lot number", "Control Lot number",
"Control Lot number", "Control Lot number", "Control Lot number", "Control Lot number", "Control Lot number", "Control Lot number",
"Control Lot number", "Control Lot number", "Control Lot number", "Control Lot number"}
)
),
New Column("Useful info 2",
Character(16),
"Nominal",
Set Values(
{"abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg",
"abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg", "abcdefg"}
)
),
New Column("Useful info 3",
Character(16),
"Nominal",
Set Values(
{"Control result", "Control result", "Control result", "Control result", "Control result", "Control result", "Control result",
"Control result", "Control result", "Control result", "Control result", "Control result", "Control result", "Control result",
"Control result", "Control result", "Control result", "Control result", "Control result", "Control result", "Control result",
"Control result"}
)
),
New Column("Useful info 4",
Numeric,
"Continuous",
Format("Best", 12),
Set Values([10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10])
),
New Column("Other info",
Character(24),
"Nominal",
Set Values(
{"Useful info 5", "Useful info 6", "Result for useful info 5", "Result for useful info 6", "Useful info 5", "Useful info 6",
"Useful info 7", "Useful info 8", "Result for useful info 5", "Result for useful info 6", "Result for useful info 7",
"Result for useful info 8", "Useful info 5", "Useful info 6", "Useful info 7", "Useful info 8", "Useful info 9",
"Result for useful info 5", "Result for useful info 6", "Result for useful info 7", "Result for useful info 8",
"Result for useful info 9"}
)
),
New Column("Value for other info",
Character(16),
"Nominal",
Set Values(
{"Method ID", "Method Version", "Method x", "1", "Method ID", "Method Version", "Sample result", "Equipment Number", "Method x", "1",
"12", "123456", "Method ID", "Method Version", "Sample result", "Equipment Type", "Equipment Number", "Method x", "1", "12", "Reader",
"123456"}
)
)
);
dt_result = dt << Summary(
Group(:Assay, :Useful info 2, :Useful info 4),
Freq("None"),
Weight("None"),
Link to original data table(0)
);
a_m = dt[0, "Assay"];
aa = Associative Array(a_m);
// will use slower for loop due to usage of JMP14 instead of For Each
aa_keys = aa << get keys;
For(i = 1, i <= N Items(aa_keys), i++,
// initialize associative array to aa
aa[aa_keys[i]] = Associative Array();
//Get rows for current assay
cur_rows = Loc(a_m, aa_keys[i]);
//
aa_temp = Associative Array(dt[cur_rows, "Other info"], dt[cur_rows, "Value for other info"]);
aa_temp_keys = aa_temp << get keys;
For(k = i, k <= N Items(aa_temp_keys), k++,
// if starts with Useful info -> this will be new key to aa[aa_keys]
If(Starts With(aa_temp_keys[k], "Useful info"),
aa[aa_keys[i]][aa_temp[aa_temp_keys[k]]] = aa_temp["Result for " || Lowercase(aa_temp_keys[k])]; // get value
);
);
);
//then loop over the AA to set values to dt_result. create new columns as you go
aa_keys = aa << get keys;
For(i = 1, i <= N Items(aa_keys), i++,
aa_new_cols = aa[aa_keys[i]];
cur_cols = Associative Array(dt_result << get column names("String"));
aa_new_cols << Remove(cur_cols);
new_cols = aa_new_cols << get keys;
For(k = 1, k <= N Items(new_cols), k++,
dt_result << New Column(new_cols[k], Character, Nominal);
);
dt_result[i, aa[aa_keys[i]] << get keys] = aa[aa_keys[i]] << get values;
);
