I am trying to use the quantcut function to create deciles, but I am getting the
error below. I am new to using this function and do not know how to properly use
the options or some other conversion that is necessary.
#initial summary using describe function in Hmisc library
DegreeBurn4th
n missing unique Mean .05 .10 .25 .50 .75 .90
.95
76 133 16 0.0325 0.0000 0.0000 0.0000 0.0000 0.0225 0.0900
0.1725
0 0.01 0.02 0.03 0.04 0.05 0.06 0.08 0.09 0.12 0.16 0.17 0.18
0.24 0.36 0.5
Frequency 48 6 3 4 2 2 1 1 2 1 1 1 1 1
1 1
% 63 8 4 5 3 3 1 1 3 1 1 1 1
1 1 1> degree.quant = quantcut(DegreeBurn4th, q=seq(0, 1, 0.1),
labels=F,na.rm=TRUE)
Error in if (sum(flag) == 0) return(cut) else return(min(x[flag], na.rm =
na.rm)) :
missing value where TRUE/FALSE needed
#orignal data>print(DegreeBurn4th)
[1] 0.09 0.00 0.00 NA NA 0.03 NA 0.02 NA 0.00 0.01 0.00 NA NA NA
NA NA 0.00 NA 0.05 0.03 0.00 NA 0.02 0.00 NA 0.00 NA NA 0.16 NA
NA 0.24
[34] NA NA 0.00 NA 0.00 0.08 NA NA NA 0.00 0.00 NA NA 0.01 NA
0.09 NA 0.00 0.00 0.00 0.06 NA 0.00 NA NA 0.00 NA NA 0.00 0.01 NA
NA 0.00
[67] NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0.00
0.00 NA NA 0.00 NA 0.05 0.00 NA NA NA 0.00 0.02 0.18 NA NA NA
0.03 NA
[100] NA 0.00 NA NA NA 0.36 NA NA NA NA 0.00 0.00 0.00 NA 0.00
NA 0.17 NA 0.00 NA NA NA 0.00 NA 0.00 0.00 0.00 NA NA 0.12 0.00
NA 0.01
[133] 0.00 NA NA NA NA 0.00 0.00 NA 0.01 0.00 0.00 NA NA 0.00 0.04
NA NA NA 0.00 0.00 NA 0.03 NA 0.00 NA 0.00 NA NA 0.01 0.00 0.00
NA NA
[166] NA NA NA NA NA NA NA NA NA NA NA NA 0.00 NA NA
NA NA NA NA NA NA NA NA 0.50 NA NA NA NA NA NA NA
NA 0.04
[199] NA NA NA NA NA NA NA NA NA NA NA
#convert missing to zero> DegreeBurn4th[is.na(DegreeBurn4th)]<-0.00
> print(DegreeBurn4th)
[1] 0.09 0.00 0.00 0.00 0.00 0.03 0.00 0.02 0.00 0.00 0.01 0.00 0.00 0.00 0.00
0.00 0.00 0.00 0.00 0.05 0.03 0.00 0.00 0.02 0.00 0.00 0.00 0.00 0.00 0.16 0.00
0.00 0.24
[34] 0.00 0.00 0.00 0.00 0.00 0.08 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00
0.09 0.00 0.00 0.00 0.00 0.06 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00
0.00 0.00
[67] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
0.00 0.00 0.00 0.00 0.00 0.05 0.00 0.00 0.00 0.00 0.00 0.02 0.18 0.00 0.00 0.00
0.03 0.00
[100] 0.00 0.00 0.00 0.00 0.00 0.36 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
0.00 0.17 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.12 0.00
0.00 0.01
[133] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.04
0.00 0.00 0.00 0.00 0.00 0.00 0.03 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00
0.00 0.00
[166] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.50 0.00 0.00 0.00 0.00 0.00 0.00 0.00
0.00 0.04
[199] 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
0.00> degree.quant = quantcut(DegreeBurn4th, q=seq(0, 1, 0.1),
labels=F,na.rm=TRUE)
Error in if (pairs[1, i] == pairs[1, i - 1] && pairs[1, i] == pairs[2,
:
missing value where TRUE/FALSE needed> degree.quant = quantcut(DegreeBurn4th, q=seq(0, 1, 0.1),
labels=F,include.lowest=TRUE)
Error in cut.default(x[!flag], breaks = newquant, include.lowest = TRUE, :
formal argument "include.lowest" matched by multiple actual
arguments> degree.quant = quantcut(DegreeBurn4th, q=seq(0, 1, 0.1),
labels=F,include.lowest=F)
Error in cut.default(x[!flag], breaks = newquant, include.lowest = TRUE, :
formal argument "include.lowest" matched by multiple actual
arguments> degree.quant = quantcut(DegreeBurn4th, q=seq(0, 1, 0.1),
labels=F,include.lowest=T)
Error in cut.default(x[!flag], breaks = newquant, include.lowest = TRUE, :
formal argument "include.lowest" matched by multiple actual
arguments>
Chris Anderson
http://www.seocodebreaker.com/?thankyou-page=429
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