(See this forum for the first steps, and what has already been tried)
I am trying to do a complicated Index function where I am doing an INDIRECT(VLOOKUP(... for the Array, a MATCH for the Row Number, and (I think) a MATCH for the Column.
=INDEX(INDIRECT(VLOOKUP($D$2,Section,2,FALSE)),MATCH($B$10,Duration,0),Match($B$9,...?)
Where-
The Indirect Lookup is finding an array based on a cell which refers to a named list ("Section").
This is in place because the data is identified by the first column of each named array which includes the section number of the data. The "Section" array is:
[TABLE="width: 108"]
<tbody>[TR]
[TD="class: xl67, width: 54"][/TD]
[TD="class: xl67, width: 54"][/TD]
[/TR]
</tbody>[/TABLE]
The Row is found by matching a value found in the column headed as Duration to the value in a named array, also confusingly named, "Duration".
[TABLE="width: 54"]
<tbody>[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
[TR]
[TD="align: center"]
[/TR]
</tbody>[/TABLE]
What I need to do now is find how to have the function call out the column(s) that bound a lookup value.
For instance, in the example table (below), a reference 24-HR value of 1.72 would be greater than 1.67 (4-MO), and less than 1.93 (6-MO). I know that this is two different lookups, and that is how I want it.
My ultimate goal will be to return all four of those things (1.67, "4-MO", 1.93, "6-MO") in individual cells, but I think finding either the values or the "X-MO" reference will facilitate the other.
Note that the column headers in this table are in A16:N16, whereas the values listed are from the array referenced above ("Sec_5", in A77:N91)
[TABLE="width: 806"]
<tbody>[TR]
[TD="align: center"]Section[/TD]
[TD="align: center"]Duration[/TD]
[TD="align: center"]2-MO[/TD]
[TD="align: center"]3-MO[/TD]
[TD="align: center"]4-MO[/TD]
[TD="align: center"]6-MO[/TD]
[TD="align: center"]9-MO[/TD]
[TD="align: center"]1-YR[/TD]
[TD="align: center"]2-YR[/TD]
[TD="align: center"]5-YR[/TD]
[TD="align: center"]10-YR[/TD]
[TD="align: center"]25-YR[/TD]
[TD="align: center"]50-YR[/TD]
[TD="align: center"]100-YR[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]10-DAY[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]2.64[/TD]
[TD="align: center"]3.05[/TD]
[TD="align: center"]3.58[/TD]
[TD="align: center"]4.12[/TD]
[TD="align: center"]4.48[/TD]
[TD="align: center"]5.2[/TD]
[TD="align: center"]6.22[/TD]
[TD="align: center"]7.22[/TD]
[TD="align: center"]8.61[/TD]
[TD="align: center"]9.66[/TD]
[TD="align: center"]10.88[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]5-DAY[/TD]
[TD="align: center"]1.76[/TD]
[TD="align: center"]2.11[/TD]
[TD="align: center"]2.39[/TD]
[TD="align: center"]2.77[/TD]
[TD="align: center"]3.18[/TD]
[TD="align: center"]3.46[/TD]
[TD="align: center"]4.05[/TD]
[TD="align: center"]4.94[/TD]
[TD="align: center"]5.72[/TD]
[TD="align: center"]6.92[/TD]
[TD="align: center"]7.98[/TD]
[TD="align: center"]9.18[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]72-HR[/TD]
[TD="align: center"]1.51[/TD]
[TD="align: center"]1.77[/TD]
[TD="align: center"]2[/TD]
[TD="align: center"]2.32[/TD]
[TD="align: center"]2.67[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]3.47[/TD]
[TD="align: center"]4.41[/TD]
[TD="align: center"]5.16[/TD]
[TD="align: center"]6.22[/TD]
[TD="align: center"]7.06[/TD]
[TD="align: center"]8.12[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]48-HR[/TD]
[TD="align: center"]1.4[/TD]
[TD="align: center"]1.64[/TD]
[TD="align: center"]1.82[/TD]
[TD="align: center"]2.11[/TD]
[TD="align: center"]2.43[/TD]
[TD="align: center"]2.64[/TD]
[TD="align: center"]3.13[/TD]
[TD="align: center"]3.93[/TD]
[TD="align: center"]4.67[/TD]
[TD="align: center"]5.75[/TD]
[TD="align: center"]6.52[/TD]
[TD="align: center"]7.33[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]24-HR[/TD]
[TD="align: center"]1.31[/TD]
[TD="align: center"]1.52[/TD]
[TD="align: center"]1.67[/TD]
[TD="align: center"]1.93[/TD]
[TD="align: center"]2.19[/TD]
[TD="align: center"]2.38[/TD]
[TD="align: center"]2.91[/TD]
[TD="align: center"]3.64[/TD]
[TD="align: center"]4.27[/TD]
[TD="align: center"]5.15[/TD]
[TD="align: center"]5.87[/TD]
[TD="align: center"]6.61[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]18-HR[/TD]
[TD="align: center"]1.23[/TD]
[TD="align: center"]1.43[/TD]
[TD="align: center"]1.57[/TD]
[TD="align: center"]1.81[/TD]
[TD="align: center"]2.06[/TD]
[TD="align: center"]2.24[/TD]
[TD="align: center"]2.74[/TD]
[TD="align: center"]3.42[/TD]
[TD="align: center"]4.01[/TD]
[TD="align: center"]4.84[/TD]
[TD="align: center"]5.52[/TD]
[TD="align: center"]6.21[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]12-HR[/TD]
[TD="align: center"]1.14[/TD]
[TD="align: center"]1.32[/TD]
[TD="align: center"]1.45[/TD]
[TD="align: center"]1.68[/TD]
[TD="align: center"]1.9[/TD]
[TD="align: center"]2.07[/TD]
[TD="align: center"]2.53[/TD]
[TD="align: center"]3.17[/TD]
[TD="align: center"]3.71[/TD]
[TD="align: center"]4.48[/TD]
[TD="align: center"]5.11[/TD]
[TD="align: center"]5.75[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]6-HR[/TD]
[TD="align: center"]0.98[/TD]
[TD="align: center"]1.15[/TD]
[TD="align: center"]1.25[/TD]
[TD="align: center"]1.45[/TD]
[TD="align: center"]1.65[/TD]
[TD="align: center"]1.79[/TD]
[TD="align: center"]2.18[/TD]
[TD="align: center"]2.73[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]3.86[/TD]
[TD="align: center"]4.4[/TD]
[TD="align: center"]4.96[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]3-HR[/TD]
[TD="align: center"]0.84[/TD]
[TD="align: center"]0.97[/TD]
[TD="align: center"]1.06[/TD]
[TD="align: center"]1.23[/TD]
[TD="align: center"]1.4[/TD]
[TD="align: center"]1.52[/TD]
[TD="align: center"]1.86[/TD]
[TD="align: center"]2.33[/TD]
[TD="align: center"]2.73[/TD]
[TD="align: center"]3.3[/TD]
[TD="align: center"]3.76[/TD]
[TD="align: center"]4.23[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]2-HR[/TD]
[TD="align: center"]0.76[/TD]
[TD="align: center"]0.88[/TD]
[TD="align: center"]0.97[/TD]
[TD="align: center"]1.12[/TD]
[TD="align: center"]1.27[/TD]
[TD="align: center"]1.38[/TD]
[TD="align: center"]1.69[/TD]
[TD="align: center"]2.11[/TD]
[TD="align: center"]2.48[/TD]
[TD="align: center"]2.99[/TD]
[TD="align: center"]3.4[/TD]
[TD="align: center"]3.83[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]1-HR[/TD]
[TD="align: center"]0.62[/TD]
[TD="align: center"]0.72[/TD]
[TD="align: center"]0.78[/TD]
[TD="align: center"]0.91[/TD]
[TD="align: center"]1.03[/TD]
[TD="align: center"]1.12[/TD]
[TD="align: center"]1.37[/TD]
[TD="align: center"]1.71[/TD]
[TD="align: center"]2.01[/TD]
[TD="align: center"]2.42[/TD]
[TD="align: center"]2.76[/TD]
[TD="align: center"]3.11[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]30-MIN[/TD]
[TD="align: center"]0.48[/TD]
[TD="align: center"]0.56[/TD]
[TD="align: center"]0.62[/TD]
[TD="align: center"]0.71[/TD]
[TD="align: center"]0.81[/TD]
[TD="align: center"]0.88[/TD]
[TD="align: center"]1.08[/TD]
[TD="align: center"]1.35[/TD]
[TD="align: center"]1.58[/TD]
[TD="align: center"]1.91[/TD]
[TD="align: center"]2.17[/TD]
[TD="align: center"]2.45[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]15-MIN[/TD]
[TD="align: center"]0.35[/TD]
[TD="align: center"]0.41[/TD]
[TD="align: center"]0.45[/TD]
[TD="align: center"]0.52[/TD]
[TD="align: center"]0.59[/TD]
[TD="align: center"]0.64[/TD]
[TD="align: center"]0.79[/TD]
[TD="align: center"]0.98[/TD]
[TD="align: center"]1.15[/TD]
[TD="align: center"]1.39[/TD]
[TD="align: center"]1.58[/TD]
[TD="align: center"]1.78[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]10-MIN[/TD]
[TD="align: center"]0.28[/TD]
[TD="align: center"]0.32[/TD]
[TD="align: center"]0.35[/TD]
[TD="align: center"]0.41[/TD]
[TD="align: center"]0.46[/TD]
[TD="align: center"]0.5[/TD]
[TD="align: center"]0.61[/TD]
[TD="align: center"]0.76[/TD]
[TD="align: center"]0.9[/TD]
[TD="align: center"]1.08[/TD]
[TD="align: center"]1.23[/TD]
[TD="align: center"]1.39[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]5-MIN[/TD]
[TD="align: center"]0.16[/TD]
[TD="align: center"]0.19[/TD]
[TD="align: center"]0.2[/TD]
[TD="align: center"]0.23[/TD]
[TD="align: center"]0.27[/TD]
[TD="align: center"]0.29[/TD]
[TD="align: center"]0.35[/TD]
[TD="align: center"]0.44[/TD]
[TD="align: center"]0.51[/TD]
[TD="align: center"]0.62[/TD]
[TD="align: center"]0.7[/TD]
[TD="align: center"]0.79[/TD]
[/TR]
</tbody>[/TABLE]
I am trying to do a complicated Index function where I am doing an INDIRECT(VLOOKUP(... for the Array, a MATCH for the Row Number, and (I think) a MATCH for the Column.
=INDEX(INDIRECT(VLOOKUP($D$2,Section,2,FALSE)),MATCH($B$10,Duration,0),Match($B$9,...?)
Where-
$D$2 refers to the known (user input) section number, in this case: 5
$B$10 refers to the known period of duration (user input), in this case: 24-HR
$B$9 refers to the recorded precip. value (user input), in this case: 1.72
$B$10 refers to the known period of duration (user input), in this case: 24-HR
$B$9 refers to the recorded precip. value (user input), in this case: 1.72
The Indirect Lookup is finding an array based on a cell which refers to a named list ("Section").
This is in place because the data is identified by the first column of each named array which includes the section number of the data. The "Section" array is:
[TABLE="width: 108"]
<tbody>[TR]
[TD="class: xl67, width: 54"]
[TABLE="width: 183"]
<tbody>[TR]
[TD]Section[/TD]
[TD]Index[/TD]
[TD]Array[/TD]
[/TR]
[TR]
[TD]1[/TD]
[TD]Sec_1[/TD]
[TD]A17:N31[/TD]
[/TR]
[TR]
[TD]2[/TD]
[TD]Sec_2[/TD]
[TD]A32:N46[/TD]
[/TR]
[TR]
[TD]3[/TD]
[TD]Sec_3[/TD]
[TD]A47:N61[/TD]
[/TR]
[TR]
[TD]4[/TD]
[TD]Sec_4[/TD]
[TD]A62:N76[/TD]
[/TR]
[TR]
[TD]5[/TD]
[TD]Sec_5[/TD]
[TD]A77:N91[/TD]
[/TR]
[TR]
[TD]6[/TD]
[TD]Sec_6[/TD]
[TD]A92:N106[/TD]
[/TR]
[TR]
[TD]7[/TD]
[TD]Sec_7[/TD]
[TD]A107:N121[/TD]
[/TR]
[TR]
[TD]8[/TD]
[TD]Sec_8[/TD]
[TD]A122:N136[/TD]
[/TR]
[TR]
[TD]9[/TD]
[TD]Sec_9[/TD]
[TD]A137:N151[/TD]
[/TR]
</tbody>[/TABLE]
<tbody>[TR]
[TD]Section[/TD]
[TD]Index[/TD]
[TD]Array[/TD]
[/TR]
[TR]
[TD]1[/TD]
[TD]Sec_1[/TD]
[TD]A17:N31[/TD]
[/TR]
[TR]
[TD]2[/TD]
[TD]Sec_2[/TD]
[TD]A32:N46[/TD]
[/TR]
[TR]
[TD]3[/TD]
[TD]Sec_3[/TD]
[TD]A47:N61[/TD]
[/TR]
[TR]
[TD]4[/TD]
[TD]Sec_4[/TD]
[TD]A62:N76[/TD]
[/TR]
[TR]
[TD]5[/TD]
[TD]Sec_5[/TD]
[TD]A77:N91[/TD]
[/TR]
[TR]
[TD]6[/TD]
[TD]Sec_6[/TD]
[TD]A92:N106[/TD]
[/TR]
[TR]
[TD]7[/TD]
[TD]Sec_7[/TD]
[TD]A107:N121[/TD]
[/TR]
[TR]
[TD]8[/TD]
[TD]Sec_8[/TD]
[TD]A122:N136[/TD]
[/TR]
[TR]
[TD]9[/TD]
[TD]Sec_9[/TD]
[TD]A137:N151[/TD]
[/TR]
</tbody>[/TABLE]
[TD="class: xl67, width: 54"][/TD]
[/TR]
</tbody>[/TABLE]
The Row is found by matching a value found in the column headed as Duration to the value in a named array, also confusingly named, "Duration".
[TABLE="width: 54"]
<tbody>[TR]
[TD="align: center"]
Duration
[/TD][/TR]
[TR]
[TD="align: center"]
10-DAY
[/TD][/TR]
[TR]
[TD="align: center"]
5-DAY
[/TD][/TR]
[TR]
[TD="align: center"]
72-HR
[/TD][/TR]
[TR]
[TD="align: center"]
48-HR
[/TD][/TR]
[TR]
[TD="align: center"]
24-HR
[/TD][/TR]
[TR]
[TD="align: center"]
18-HR
[/TD][/TR]
[TR]
[TD="align: center"]
12-HR
[/TD][/TR]
[TR]
[TD="align: center"]
6-HR
[/TD][/TR]
[TR]
[TD="align: center"]
3-HR
[/TD][/TR]
[TR]
[TD="align: center"]
2-HR
[/TD][/TR]
[TR]
[TD="align: center"]
1-HR
[/TD][/TR]
[TR]
[TD="align: center"]
30-MIN
15-MIN
10-MIN
5-MIN
[/TD]15-MIN
10-MIN
5-MIN
[/TR]
</tbody>[/TABLE]
What I need to do now is find how to have the function call out the column(s) that bound a lookup value.
For instance, in the example table (below), a reference 24-HR value of 1.72 would be greater than 1.67 (4-MO), and less than 1.93 (6-MO). I know that this is two different lookups, and that is how I want it.
My ultimate goal will be to return all four of those things (1.67, "4-MO", 1.93, "6-MO") in individual cells, but I think finding either the values or the "X-MO" reference will facilitate the other.
Note that the column headers in this table are in A16:N16, whereas the values listed are from the array referenced above ("Sec_5", in A77:N91)
[TABLE="width: 806"]
<tbody>[TR]
[TD="align: center"]Section[/TD]
[TD="align: center"]Duration[/TD]
[TD="align: center"]2-MO[/TD]
[TD="align: center"]3-MO[/TD]
[TD="align: center"]4-MO[/TD]
[TD="align: center"]6-MO[/TD]
[TD="align: center"]9-MO[/TD]
[TD="align: center"]1-YR[/TD]
[TD="align: center"]2-YR[/TD]
[TD="align: center"]5-YR[/TD]
[TD="align: center"]10-YR[/TD]
[TD="align: center"]25-YR[/TD]
[TD="align: center"]50-YR[/TD]
[TD="align: center"]100-YR[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]10-DAY[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]2.64[/TD]
[TD="align: center"]3.05[/TD]
[TD="align: center"]3.58[/TD]
[TD="align: center"]4.12[/TD]
[TD="align: center"]4.48[/TD]
[TD="align: center"]5.2[/TD]
[TD="align: center"]6.22[/TD]
[TD="align: center"]7.22[/TD]
[TD="align: center"]8.61[/TD]
[TD="align: center"]9.66[/TD]
[TD="align: center"]10.88[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]5-DAY[/TD]
[TD="align: center"]1.76[/TD]
[TD="align: center"]2.11[/TD]
[TD="align: center"]2.39[/TD]
[TD="align: center"]2.77[/TD]
[TD="align: center"]3.18[/TD]
[TD="align: center"]3.46[/TD]
[TD="align: center"]4.05[/TD]
[TD="align: center"]4.94[/TD]
[TD="align: center"]5.72[/TD]
[TD="align: center"]6.92[/TD]
[TD="align: center"]7.98[/TD]
[TD="align: center"]9.18[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]72-HR[/TD]
[TD="align: center"]1.51[/TD]
[TD="align: center"]1.77[/TD]
[TD="align: center"]2[/TD]
[TD="align: center"]2.32[/TD]
[TD="align: center"]2.67[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]3.47[/TD]
[TD="align: center"]4.41[/TD]
[TD="align: center"]5.16[/TD]
[TD="align: center"]6.22[/TD]
[TD="align: center"]7.06[/TD]
[TD="align: center"]8.12[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]48-HR[/TD]
[TD="align: center"]1.4[/TD]
[TD="align: center"]1.64[/TD]
[TD="align: center"]1.82[/TD]
[TD="align: center"]2.11[/TD]
[TD="align: center"]2.43[/TD]
[TD="align: center"]2.64[/TD]
[TD="align: center"]3.13[/TD]
[TD="align: center"]3.93[/TD]
[TD="align: center"]4.67[/TD]
[TD="align: center"]5.75[/TD]
[TD="align: center"]6.52[/TD]
[TD="align: center"]7.33[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]24-HR[/TD]
[TD="align: center"]1.31[/TD]
[TD="align: center"]1.52[/TD]
[TD="align: center"]1.67[/TD]
[TD="align: center"]1.93[/TD]
[TD="align: center"]2.19[/TD]
[TD="align: center"]2.38[/TD]
[TD="align: center"]2.91[/TD]
[TD="align: center"]3.64[/TD]
[TD="align: center"]4.27[/TD]
[TD="align: center"]5.15[/TD]
[TD="align: center"]5.87[/TD]
[TD="align: center"]6.61[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]18-HR[/TD]
[TD="align: center"]1.23[/TD]
[TD="align: center"]1.43[/TD]
[TD="align: center"]1.57[/TD]
[TD="align: center"]1.81[/TD]
[TD="align: center"]2.06[/TD]
[TD="align: center"]2.24[/TD]
[TD="align: center"]2.74[/TD]
[TD="align: center"]3.42[/TD]
[TD="align: center"]4.01[/TD]
[TD="align: center"]4.84[/TD]
[TD="align: center"]5.52[/TD]
[TD="align: center"]6.21[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]12-HR[/TD]
[TD="align: center"]1.14[/TD]
[TD="align: center"]1.32[/TD]
[TD="align: center"]1.45[/TD]
[TD="align: center"]1.68[/TD]
[TD="align: center"]1.9[/TD]
[TD="align: center"]2.07[/TD]
[TD="align: center"]2.53[/TD]
[TD="align: center"]3.17[/TD]
[TD="align: center"]3.71[/TD]
[TD="align: center"]4.48[/TD]
[TD="align: center"]5.11[/TD]
[TD="align: center"]5.75[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]6-HR[/TD]
[TD="align: center"]0.98[/TD]
[TD="align: center"]1.15[/TD]
[TD="align: center"]1.25[/TD]
[TD="align: center"]1.45[/TD]
[TD="align: center"]1.65[/TD]
[TD="align: center"]1.79[/TD]
[TD="align: center"]2.18[/TD]
[TD="align: center"]2.73[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]3.86[/TD]
[TD="align: center"]4.4[/TD]
[TD="align: center"]4.96[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]3-HR[/TD]
[TD="align: center"]0.84[/TD]
[TD="align: center"]0.97[/TD]
[TD="align: center"]1.06[/TD]
[TD="align: center"]1.23[/TD]
[TD="align: center"]1.4[/TD]
[TD="align: center"]1.52[/TD]
[TD="align: center"]1.86[/TD]
[TD="align: center"]2.33[/TD]
[TD="align: center"]2.73[/TD]
[TD="align: center"]3.3[/TD]
[TD="align: center"]3.76[/TD]
[TD="align: center"]4.23[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]2-HR[/TD]
[TD="align: center"]0.76[/TD]
[TD="align: center"]0.88[/TD]
[TD="align: center"]0.97[/TD]
[TD="align: center"]1.12[/TD]
[TD="align: center"]1.27[/TD]
[TD="align: center"]1.38[/TD]
[TD="align: center"]1.69[/TD]
[TD="align: center"]2.11[/TD]
[TD="align: center"]2.48[/TD]
[TD="align: center"]2.99[/TD]
[TD="align: center"]3.4[/TD]
[TD="align: center"]3.83[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]1-HR[/TD]
[TD="align: center"]0.62[/TD]
[TD="align: center"]0.72[/TD]
[TD="align: center"]0.78[/TD]
[TD="align: center"]0.91[/TD]
[TD="align: center"]1.03[/TD]
[TD="align: center"]1.12[/TD]
[TD="align: center"]1.37[/TD]
[TD="align: center"]1.71[/TD]
[TD="align: center"]2.01[/TD]
[TD="align: center"]2.42[/TD]
[TD="align: center"]2.76[/TD]
[TD="align: center"]3.11[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]30-MIN[/TD]
[TD="align: center"]0.48[/TD]
[TD="align: center"]0.56[/TD]
[TD="align: center"]0.62[/TD]
[TD="align: center"]0.71[/TD]
[TD="align: center"]0.81[/TD]
[TD="align: center"]0.88[/TD]
[TD="align: center"]1.08[/TD]
[TD="align: center"]1.35[/TD]
[TD="align: center"]1.58[/TD]
[TD="align: center"]1.91[/TD]
[TD="align: center"]2.17[/TD]
[TD="align: center"]2.45[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]15-MIN[/TD]
[TD="align: center"]0.35[/TD]
[TD="align: center"]0.41[/TD]
[TD="align: center"]0.45[/TD]
[TD="align: center"]0.52[/TD]
[TD="align: center"]0.59[/TD]
[TD="align: center"]0.64[/TD]
[TD="align: center"]0.79[/TD]
[TD="align: center"]0.98[/TD]
[TD="align: center"]1.15[/TD]
[TD="align: center"]1.39[/TD]
[TD="align: center"]1.58[/TD]
[TD="align: center"]1.78[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]10-MIN[/TD]
[TD="align: center"]0.28[/TD]
[TD="align: center"]0.32[/TD]
[TD="align: center"]0.35[/TD]
[TD="align: center"]0.41[/TD]
[TD="align: center"]0.46[/TD]
[TD="align: center"]0.5[/TD]
[TD="align: center"]0.61[/TD]
[TD="align: center"]0.76[/TD]
[TD="align: center"]0.9[/TD]
[TD="align: center"]1.08[/TD]
[TD="align: center"]1.23[/TD]
[TD="align: center"]1.39[/TD]
[/TR]
[TR]
[TD="align: center"]5[/TD]
[TD="align: center"]5-MIN[/TD]
[TD="align: center"]0.16[/TD]
[TD="align: center"]0.19[/TD]
[TD="align: center"]0.2[/TD]
[TD="align: center"]0.23[/TD]
[TD="align: center"]0.27[/TD]
[TD="align: center"]0.29[/TD]
[TD="align: center"]0.35[/TD]
[TD="align: center"]0.44[/TD]
[TD="align: center"]0.51[/TD]
[TD="align: center"]0.62[/TD]
[TD="align: center"]0.7[/TD]
[TD="align: center"]0.79[/TD]
[/TR]
</tbody>[/TABLE]
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