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After the satisfying answers to my former question (Part 1)(Part 1), another issue occurred, but with the same background (List-operations only when restrictions are fulfilled):

After the satisfying answers to my former question (Part 1), another issue occurred, but with the same background (List-operations only when restrictions are fulfilled):

After the satisfying answers to my former question (Part 1), another issue occurred, but with the same background (List-operations only when restrictions are fulfilled):

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John
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For better understanding, please consider the following examples:

Example1 = {5, 5, 5, 2, 2, 2, 6, 4, 4, 4};
MyFunction@Example1
{5, 5, 5, 3, 3, 3, 3, 4, 4, 4}

Example2 = {2, 2, 2, 6, 4, 4, 4};
MyFunction@Example2
{3, 3, 3, 3, 4, 4, 4}

Example3 = {2, 2, 2, 4, 4, 4};
MyFunction@Example3
{2, 2, 2, 4, 4, 4}

MyFunction detects a peak within the dataset and "kills" it by replacing the peak and the preceding sequence (with constant values) with y+residual (see 2., Example1 and Example2). It is important that MyFunction returns the original list when no peak occurs in the list (see Example 3.).

For better understanding, please consider the following examples:

Example1 = {5, 5, 5, 2, 2, 2, 6, 4, 4, 4};
MyFunction@Example1
{5, 5, 5, 3, 3, 3, 3, 4, 4, 4}

Example2 = {2, 2, 2, 6, 4, 4, 4};
MyFunction@Example2
{3, 3, 3, 3, 4, 4, 4}

Example3 = {2, 2, 2, 4, 4, 4};
MyFunction@Example3
{2, 2, 2, 4, 4, 4}

MyFunction detects a peak within the dataset and "kills" it by replacing the peak and the preceding sequence (with constant values) with y+residual (see 2., Example1 and Example2). It is important that MyFunction returns the original list when no peak occurs in the list (see Example 3.).

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John
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Consider the following:

data={{{3544128000, 80}, {3544732800, 80}, {3545337600, 80},
{3545942400, 80}, {3545942400, 160}, {3546547200, 160}, {3547152000, 0}}};

After the satisfying answers to my former question (Part 1), another issue occurred, but with the same background (List-operations only when restrictions are fulfilled):

After applying

Transpose[{#[[All, 1, 1]], 
      Total[#[[All, All, 2]], {2}]}] &[#] & /@ (GatherBy[#, First] & /@
    data)

on data (thanks to Andy Ross for the approach), I receive

{{{3544128000, 80}, {3544732800, 80}, {3545337600, 80}, {3545942400, 240},
{3546547200, 160}, {3547152000, 0}}}

which resembles to

{{x_-n*604800_, y_},...,{x_-604800_, y_}, {x_, u_},
{x+604800_, z_},{x_+2*604800_, z_},...,{x_+m*604800_, z_}}

I would like to do the following:

  1. u_->y_ (Transform u_ to y_)
  2. residual=(y_-u_)/(n+1) (Calculate residual of y_ and u_ and divide it be n+1)
  3. {{x-n*604800_, y_+residual},...,{x-604800_, y_+residual}, {x_, y_+residual},{x+604800_, z_},{x_+2*604800_, z_},...,{x_+m*604800_, z_}} (Distribute residual to all periods from x_-n*604800 to x_)

The result in case of data will then be:

{{{3544128000, 120}, {3544732800, 120}, {3545337600, 120}, {3545942400, 120},
    {3546547200, 160}, {3547152000, 0}}}

Consider the following:

data={{{3544128000, 80}, {3544732800, 80}, {3545337600, 80},
{3545942400, 80}, {3545942400, 160}, {3546547200, 160}, {3547152000, 0}}};

After the satisfying answers to my former question (Part 1), another issue occurred, but with the same background (List-operations only when restrictions are fulfilled):

After applying

Transpose[{#[[All, 1, 1]], 
      Total[#[[All, All, 2]], {2}]}] &[#] & /@ (GatherBy[#, First] & /@
    data)

on data (thanks to Andy Ross for the approach), I receive

{{{3544128000, 80}, {3544732800, 80}, {3545337600, 80}, {3545942400, 240},
{3546547200, 160}}}

which resembles to

{{x_-n*604800_, y_},...,{x_-604800_, y_}, {x_, u_},
{x+604800_, z_},{x_+2*604800_, z_},...,{x_+m*604800_, z_}}

I would like to do the following:

  1. u_->y_ (Transform u_ to y_)
  2. residual=(y_-u_)/(n+1) (Calculate residual of y_ and u_ and divide it be n+1)
  3. {{x-n*604800_, y_+residual},...,{x-604800_, y_+residual}, {x_, y_+residual},{x+604800_, z_},{x_+2*604800_, z_},...,{x_+m*604800_, z_}} (Distribute residual to all periods from x_-n*604800 to x_)

The result in case of data will then be:

{{{3544128000, 120}, {3544732800, 120}, {3545337600, 120}, {3545942400, 120},
    {3546547200, 160}}}

Consider the following:

data={{{3544128000, 80}, {3544732800, 80}, {3545337600, 80},
{3545942400, 80}, {3545942400, 160}, {3546547200, 160}, {3547152000, 0}}};

After the satisfying answers to my former question (Part 1), another issue occurred, but with the same background (List-operations only when restrictions are fulfilled):

After applying

Transpose[{#[[All, 1, 1]], 
      Total[#[[All, All, 2]], {2}]}] &[#] & /@ (GatherBy[#, First] & /@
    data)

on data (thanks to Andy Ross for the approach), I receive

{{{3544128000, 80}, {3544732800, 80}, {3545337600, 80}, {3545942400, 240},
{3546547200, 160}, {3547152000, 0}}}

which resembles to

{{x_-n*604800_, y_},...,{x_-604800_, y_}, {x_, u_},
{x+604800_, z_},{x_+2*604800_, z_},...,{x_+m*604800_, z_}}

I would like to do the following:

  1. u_->y_ (Transform u_ to y_)
  2. residual=(y_-u_)/(n+1) (Calculate residual of y_ and u_ and divide it be n+1)
  3. {{x-n*604800_, y_+residual},...,{x-604800_, y_+residual}, {x_, y_+residual},{x+604800_, z_},{x_+2*604800_, z_},...,{x_+m*604800_, z_}} (Distribute residual to all periods from x_-n*604800 to x_)

The result in case of data will then be:

{{{3544128000, 120}, {3544732800, 120}, {3545337600, 120}, {3545942400, 120},
    {3546547200, 160}, {3547152000, 0}}}
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John
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