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ac6-refmat:param:calccorrectgraph
CalcCorrectGraph
Fields
| Field | Type | Offset | Description | Notes |
|---|---|---|---|---|
| stageMaxVal0 | f32 | 0x0 | Stat Level Cap corresponds to the level of a certain stat | |
| stageMaxVal1 | f32 | 0x4 | Stage cap corresponds to the level of a certain stat | |
| stageMaxVal2 | f32 | 0x8 | Stage cap corresponds to the level of a certain stat | |
| stageMaxVal3 | f32 | 0xc | Stage cap corresponds to the level of a certain stat | |
| stageMaxVal4 | f32 | 0x10 | Stage cap corresponds to the level of a certain stat | |
| stageMaxGrowVal0 | f32 | 0x14 | Stage growth is a multiplier of the maximum growth that will occur in a certain stage, as an example a chart such as this: Growth Stage 0 - Growth = 20 - 20 of the total scaling is reached at stage 0. Growth Stage 1 - Growth = 25 - 25 of the total scaling is reached at stage 1. Growth Stage 2 - Growth = 50 - 50 of the total scaling is reached at stage 2. Growth Stage 3 - Growth = 80 - 80 of the total scaling is reached at stage 3. Growth Stage 4 - Growth = 90 - 90 of the total scaling is reached at stage 4. As you can see, in this specific chart 100 is never reached, 100 could be reached if only the value of growth stage 4 was 100% This is not limited to 100 as an example growth stage 4 could reach 200. The level cap of a growth stage is specified in the corresponding Stat Level Cap Field | | | stageMaxGrowVal1 | ''f32'' | ''0x18'' | Stage growth is a multiplier of the maximum growth that will occur in a certain stage, as an example a chart such as this: Growth Stage 0 - Growth = 20 - 20 of the total scaling is reached at stage 0. Growth Stage 1 - Growth = 25 - 25 of the total scaling is reached at stage 1. Growth Stage 2 - Growth = 50 - 50 of the total scaling is reached at stage 2. Growth Stage 3 - Growth = 80 - 80 of the total scaling is reached at stage 3. Growth Stage 4 - Growth = 90 - 90 of the total scaling is reached at stage 4. As you can see, in this specific chart 100 is never reached, 100 could be reached if only the value of growth stage 4 was 100% This is not limited to 100 as an example growth stage 4 could reach 200. The level cap of a growth stage is specified in the corresponding Stat Level Cap Field | |
| stageMaxGrowVal2 | f32 | 0x1c | Stage growth is a multiplier of the maximum growth that will occur in a certain stage, as an example a chart such as this: Growth Stage 0 - Growth = 20 - 20 of the total scaling is reached at stage 0. Growth Stage 1 - Growth = 25 - 25 of the total scaling is reached at stage 1. Growth Stage 2 - Growth = 50 - 50 of the total scaling is reached at stage 2. Growth Stage 3 - Growth = 80 - 80 of the total scaling is reached at stage 3. Growth Stage 4 - Growth = 90 - 90 of the total scaling is reached at stage 4. As you can see, in this specific chart 100 is never reached, 100 could be reached if only the value of growth stage 4 was 100% This is not limited to 100 as an example growth stage 4 could reach 200. The level cap of a growth stage is specified in the corresponding Stat Level Cap Field | | | stageMaxGrowVal3 | ''f32'' | ''0x20'' | Stage growth is a multiplier of the maximum growth that will occur in a certain stage, as an example a chart such as this: Growth Stage 0 - Growth = 20 - 20 of the total scaling is reached at stage 0. Growth Stage 1 - Growth = 25 - 25 of the total scaling is reached at stage 1. Growth Stage 2 - Growth = 50 - 50 of the total scaling is reached at stage 2. Growth Stage 3 - Growth = 80 - 80 of the total scaling is reached at stage 3. Growth Stage 4 - Growth = 90 - 90 of the total scaling is reached at stage 4. As you can see, in this specific chart 100 is never reached, 100 could be reached if only the value of growth stage 4 was 100% This is not limited to 100 as an example growth stage 4 could reach 200. The level cap of a growth stage is specified in the corresponding Stat Level Cap Field | |
| stageMaxGrowVal4 | f32 | 0x24 | Stage growth is a multiplier of the maximum growth that will occur in a certain stage, as an example a chart such as this: Growth Stage 0 - Growth = 20 - 20 of the total scaling is reached at stage 0. Growth Stage 1 - Growth = 25 - 25 of the total scaling is reached at stage 1. Growth Stage 2 - Growth = 50 - 50 of the total scaling is reached at stage 2. Growth Stage 3 - Growth = 80 - 80 of the total scaling is reached at stage 3. Growth Stage 4 - Growth = 90 - 90 of the total scaling is reached at stage 4. As you can see, in this specific chart 100 is never reached, 100 could be reached if only the value of growth stage 4 was 100% This is not limited to 100 as an example growth stage 4 could reach 200%%. The level cap of a growth stage is specified in the corresponding Stat Level Cap Field | |
| adjPt_maxGrowVal0 | f32 | 0x28 | Determines the exponent used to calculate the curve. The growth values are normalised to be between the level range and the growth range dictated, Such that: 0 level is the lower bound of the stage, and 1 level is the upper bound 0 growth is the lower bound of the stage, and 1 growth is the upper bound This curve is, at a value of 1, linear, meaning direct proportion between each stage. At a value of 2, it is quadratic (in fact, it will be flat exactly at 0, and have steepness 2 at 1) Note that a steepness of 2 means the growth per level is double the average growth per level. At a value of 0.5, it is a square root. Below 0, negative powers are not used as this would create asymptotes and infinite values. Instead, the axes are flipped. If you consider the graph 0 to 1 by 0 to 1, it is rotated 180 degrees. At a value of -1, it is linear again. At a value of -2, it is quadratic, however the origin is at the upper bound. Note this means there is a steepness of 2 at the lower bound and it is flat at the upper bound. At a value of -0.5, it is a square root graph again, but rotated 180. | |
| adjPt_maxGrowVal1 | f32 | 0x2c | Determines the exponent used to calculate the curve. The growth values are normalised to be between the level range and the growth range dictated, Such that: 0 level is the lower bound of the stage, and 1 level is the upper bound 0 growth is the lower bound of the stage, and 1 growth is the upper bound This curve is, at a value of 1, linear, meaning direct proportion between each stage. At a value of 2, it is quadratic (in fact, it will be flat exactly at 0, and have steepness 2 at 1) Note that a steepness of 2 means the growth per level is double the average growth per level. At a value of 0.5, it is a square root. Below 0, negative powers are not used as this would create asymptotes and infinite values. Instead, the axes are flipped. If you consider the graph 0 to 1 by 0 to 1, it is rotated 180 degrees. At a value of -1, it is linear again. At a value of -2, it is quadratic, however the origin is at the upper bound. Note this means there is a steepness of 2 at the lower bound and it is flat at the upper bound. At a value of -0.5, it is a square root graph again, but rotated 180. | |
| adjPt_maxGrowVal2 | f32 | 0x30 | Determines the exponent used to calculate the curve. The growth values are normalised to be between the level range and the growth range dictated, Such that: 0 level is the lower bound of the stage, and 1 level is the upper bound 0 growth is the lower bound of the stage, and 1 growth is the upper bound This curve is, at a value of 1, linear, meaning direct proportion between each stage. At a value of 2, it is quadratic (in fact, it will be flat exactly at 0, and have steepness 2 at 1) Note that a steepness of 2 means the growth per level is double the average growth per level. At a value of 0.5, it is a square root. Below 0, negative powers are not used as this would create asymptotes and infinite values. Instead, the axes are flipped. If you consider the graph 0 to 1 by 0 to 1, it is rotated 180 degrees. At a value of -1, it is linear again. At a value of -2, it is quadratic, however the origin is at the upper bound. Note this means there is a steepness of 2 at the lower bound and it is flat at the upper bound. At a value of -0.5, it is a square root graph again, but rotated 180. | |
| adjPt_maxGrowVal3 | f32 | 0x34 | Determines the exponent used to calculate the curve. The growth values are normalised to be between the level range and the growth range dictated, Such that: 0 level is the lower bound of the stage, and 1 level is the upper bound 0 growth is the lower bound of the stage, and 1 growth is the upper bound This curve is, at a value of 1, linear, meaning direct proportion between each stage. At a value of 2, it is quadratic (in fact, it will be flat exactly at 0, and have steepness 2 at 1) Note that a steepness of 2 means the growth per level is double the average growth per level. At a value of 0.5, it is a square root. Below 0, negative powers are not used as this would create asymptotes and infinite values. Instead, the axes are flipped. If you consider the graph 0 to 1 by 0 to 1, it is rotated 180 degrees. At a value of -1, it is linear again. At a value of -2, it is quadratic, however the origin is at the upper bound. Note this means there is a steepness of 2 at the lower bound and it is flat at the upper bound. At a value of -0.5, it is a square root graph again, but rotated 180. | |
| adjPt_maxGrowVal4 | f32 | 0x38 | This value is not used. | |
| init_inclination_soul | f32 | 0x3c | Growth Soul Slope of the early graph 1 | |
| adjustment_value | f32 | 0x40 | Growth soul Early soul adjustment 2 | |
| boundry_inclination_soul | f32 | 0x44 | Affects the slope of the graph after the growth soul threshold 3 | |
| boundry_value | f32 | 0x48 | Growth soul threshold t | |
| pad | dummy8 | 0x4c | This field is padding. |
ac6-refmat/param/calccorrectgraph.txt · Last modified: by admin
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