data=read.csv("karpur.csv")
head(data)
##    depth caliper ind.deep ind.med  gamma phi.N R.deep  R.med      SP
## 1 5667.0   8.685  618.005 569.781 98.823 0.410  1.618  1.755 -56.587
## 2 5667.5   8.686  497.547 419.494 90.640 0.307  2.010  2.384 -61.916
## 3 5668.0   8.686  384.935 300.155 78.087 0.203  2.598  3.332 -55.861
## 4 5668.5   8.686  278.324 205.224 66.232 0.119  3.593  4.873 -41.860
## 5 5669.0   8.686  183.743 131.155 59.807 0.069  5.442  7.625 -34.934
## 6 5669.5   8.686  109.512  75.633 57.109 0.048  9.131 13.222 -39.769
##   density.corr density phi.core   k.core Facies
## 1       -0.033   2.205  33.9000 2442.590     F1
## 2       -0.067   2.040  33.4131 3006.989     F1
## 3       -0.064   1.888  33.1000 3370.000     F1
## 4       -0.053   1.794  34.9000 2270.000     F1
## 5       -0.054   1.758  35.0644 2530.758     F1
## 6       -0.058   1.759  35.3152 2928.314     F1
 data = data[order(data$k.core, decreasing = TRUE), ]
k = data$k.core
sample = c(1: length(k))
k_percent =(sample * 100) / length(k)

xlab = "Portion of Total Samples Having Larger or Egual k  "
ylab = "permeabiliy (md)"
plot(k_percent, k, log = 'y' , xlab = xlab, ylab, pch = 10, cex =0.5, col ="#001c49")
## Warning in plot.xy(xy, type, ...): plot type 'permeabiliy (md)' will be
## truncated to first character

log_k = log(k)
model = lm(log_k~ k_percent)
plot(k_percent,log_k, xlab = xlab, ylab = ylab,pch = 10, cex = 0.5, col = "#001c49")
abline(model, col ='red' , lwd = 2)

```