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How to find the inverse of log10 for an R data frame column?
To find the log10 of a data frame column then log10 function will be used but to find the inverse of the log10 can be found by putting 10 raises to the power of the log10 column. For example, if we have a data frame called df that contains a column x then the log10 will be found by using
log10(df$x)
after that the inverse will be found by using 10^(df$x).
Example1
Consider the below data frame −
> x1<-sample(10000:99999,20) > x2<-rpois(20,2) > df1<-data.frame(x1,x2) > df1
Output
x1 x2 1 66210 2 2 42033 2 3 39309 2 4 80353 3 5 92864 2 6 48621 2 7 32400 1 8 55566 2 9 85535 5 10 57837 2 11 48539 1 12 29255 1 13 19305 1 14 54891 4 15 69511 3 16 35786 5 17 74461 0 18 23754 3 19 78146 1 20 16219 1
Finding the log10 of x1 column −
> df1$x1<-log10(df1$x1) > df1
Output
x1 x2 1 4.820924 2 2 4.623590 2 3 4.594492 2 4 4.905002 3 5 4.967847 2 6 4.686824 2 7 4.510545 1 8 4.744809 2 9 4.932144 5 10 4.762206 2 11 4.686091 1 12 4.466200 1 13 4.285670 1 14 4.739501 4 15 4.842054 3 16 4.553713 5 17 4.871929 0 18 4.375737 3 19 4.892907 1 20 4.210024 1
Finding the inverse of column x1 −
> df1$x1<-10^(df1$x1) > df1
Output
x1 x2 1 66210 2 2 42033 2 3 39309 2 4 80353 3 5 92864 2 6 48621 2 7 32400 1 8 55566 2 9 85535 5 10 57837 2 11 48539 1 12 29255 1 13 19305 1 14 54891 4 15 69511 3 16 35786 5 17 74461 0 18 23754 3 19 78146 1 20 16219 1
Example2
> y1<-1:20 > y2<-sample(1000000:9999999,20) > df2<-data.frame(y1,y2) > df2
Output
y1 y2 1 1 7038766 2 2 1814441 3 3 7484636 4 4 3937342 5 5 4650626 6 6 2436222 7 7 9931589 8 8 2567213 9 9 2207442 10 10 5339350 11 11 4079052 12 12 8869255 13 13 1573860 14 14 9458496 15 15 8710227 16 16 2636125 17 17 4632768 18 18 4402171 19 19 1756356 20 20 5951907
Finding the log10 of y2 column −
> df2$y2<-log10(df2$y2) > df2
Output
y1 y2 1 1 6.847497 2 2 6.258743 3 3 6.874171 4 4 6.595203 5 5 6.667511 6 6 6.386717 7 7 6.997019 8 8 6.409462 9 9 6.343889 10 10 6.727488 11 11 6.610559 12 12 6.947887 13 13 6.196966 14 14 6.975822 15 15 6.940029 16 16 6.420966 17 17 6.665841 18 18 6.643667 19 19 6.244613 20 20 6.774656
Finding the inverse of column y2 −
> df2$y2<-10^(df2$y2) > df2
Output
y1 y2 1 1 7038766 2 2 1814441 3 3 7484636 4 4 3937342 5 5 4650626 6 6 2436222 7 7 9931589 8 8 2567213 9 9 2207442 10 10 5339350 11 11 4079052 12 12 8869255 13 13 1573860 14 14 9458496 15 15 8710227 16 16 2636125 17 17 4632768 18 18 4402171 19 19 1756356 20 20 5951907
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