knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(blaststats)
The code reproduces the original table and some calculations in the original paper.
#sequence length (this is NOT m*n) mn <- c(191,245,314,403,518,665,854,1097,1408,1808,2322,2981) # mean length of alignments l.orig <- c(22.6 ,25.8 ,29.4, 32.4,36.3,40.3,43.9,48.1,51.6,55.1,59.1,63.5) # log(m*n) ## this is the log of the search space ## eg log(search space) ln.n.m. <- c(10.25, 10.78,11.30,11.83,12.35,12.87,13.39,13.91,14.43,14.94,15.45,15.96) # u (mu) u.orig <- c(26.45,28.31,30.21,32.04,33.92,35.94,37.84,39.75,41.71,43.54,45.53,47.32) # lambda lambda.orig <- c(0.298,0.286,0.282,0.275,0.279,0.273,0.272,0.275,0.268,0.271,0.267,0.270) # K K.orig <- c(0.073,0.055,0.051,0.041,0.048,0.041,0.040,0.046,0.036,0.041,0.035,0.040)
table1 <- data.frame(mn = mn, l = l.orig, ln.nm = round(log(mn*mn),3), ln.n.m., u = u.orig, lambda = lambda.orig, K = K.orig)
Look at the table
table1
write.csv(table1,file = "table1.csv", row.names = F)
loc. <- here::here("data-raw") file. <- "table1.csv" file.full <- here::here(loc., file.) write.csv(table1, file = file.full, row.names = F)
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