Difference between revisions of "Loop.R"

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# {{R}}
 
# ==============================================================================
 
# ==============================================================================
# Loop evaluation e.g. 8 parts, 5 comparisons
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# Loop evaluation e.g. 6 parts, 4 comparisons
 +
# this function is construting an array e.g. 1,2,3,4,5,6,1,2,3
 +
# and then subsetting sequential arrays of length four from it
 +
# e.g. 1,2,3,4 2,3,4,5 3,4,5,6 etc
 
# ==============================================================================
 
# ==============================================================================
  
 +
 +
loopName <- c(0,14,25, 35,60,87,132,146)
  
 
start  <- 1
 
start  <- 1
loop    <- 8
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loop    <- length(loopName)
comp    <- 5
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comp    <- 4
# seq makes a sequence from 1 to 8+5-1
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loopId <- 0:(loop+comp-1) %% loop +1
# %% yields he remainder of a division
 
loops <- seq(loop + comp - 1) %% loop
 
  
 
for(i in seq(loop)){
 
for(i in seq(loop)){
   print(loops[seq(from=i, length=comp)])
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   print(loopName[loopId][seq(from=i, length=comp)])
 
}
 
}
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 +
# Returns;
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# 0 14 25 35
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# 14 25 35 60
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# 25 35 60 87
 +
# 35  60  87 132
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# 60  87 132 146
 +
# 87 132 146  0
 +
# 132 146  0  14
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# 146  0  14  25

Latest revision as of 00:40, 6 June 2007

Code snipits and programs written in R, S or S-PLUS

  1. ==============================================================================
  2. Loop evaluation e.g. 6 parts, 4 comparisons
  3. this function is construting an array e.g. 1,2,3,4,5,6,1,2,3
  4. and then subsetting sequential arrays of length four from it
  5. e.g. 1,2,3,4 2,3,4,5 3,4,5,6 etc
  6. ==============================================================================


loopName <- c(0,14,25, 35,60,87,132,146)

start <- 1 loop <- length(loopName) comp <- 4 loopId <- 0:(loop+comp-1) %% loop +1

for(i in seq(loop)){

 print(loopName[loopId][seq(from=i, length=comp)])

}

  1. Returns;
  2. 0 14 25 35
  3. 14 25 35 60
  4. 25 35 60 87
  5. 35 60 87 132
  6. 60 87 132 146
  7. 87 132 146 0
  8. 132 146 0 14
  9. 146 0 14 25