Data
If you look at the map, there are loads of blue dots, indicating low radiation, and a line of yellow, orange and red dots, striking north east from the reactor. It is an interactive map. You can click on any dot and see some details for that region. And at the bottom of that is a link to a detail page. On that page there are, among other things, graphs such as this one.
There may be a more simple way to get the data, but since I don't speak Japanese, I cannot say either way.
Edit 9 December 2012: I got sent better translations from Ishigami, a Japanese reader, hence this post has been edited.
Analysis
Since the data looks pretty choppy, I wanted a robust model. To quote the robust task view: "robust depends on robustbase, the former providing convenient routines for the casual user where the latter will contain the underlying functionality, and provide the more advanced statistician with a large range of options for robust modeling." Regarding robust I am certainly the casual user. Proportional decrease by using a linear model on log transformed data seemed an appropriate modelling strategy.The plot below contains the data and the predictions. For me, the predictions seem just like I would make them when ignoring some of the crazy jumps.
The data themselves, show a clear correlation. The same drop mid January, a jump in September, though I do not know an explanation.
Lower CI mean Upper CI
Maenori meeting place in Soso district 1.922496 2.074042 2.251524
Murohara community center in Soso district 3.171938 4.463582 7.529780
Sugiuchi meeting place in Soso district 1.764994 1.817172 1.872530
township village center 2.602491 2.854096 3.159558
code
#【相双地方】室原公民館の測定値
#704
# Measurements [phase] of bi-district community center Murohara
# Measurements of Murohara community center in Soso district.
ys704 <- "http://chart.apis.google.com/chart?chd=t:433,432,433,410,431,432,426,430,441,438,435,432,435,416,422,431,422,422,407,425,405,421,419,424,421,418,415,428,412,402,414,404,413,412,401,402,406,413,424,276,310,334,352,357,370,389,396,398,402,405,404,396,397,405,404,404,407,417,419,411,413,411,332,409,398,400,409,388,402,402,403,394,387,400,408,394,394,389,405,384,391,387,399,404,407,416,407,403,409,409,412,423,428,415,411,408,416,431,403,411,415,420,436,426,420,407,416,414,411,411,404,402,415,406,405,393,420,403,389,401,403,390,397,403,410,388,393,388,395,412,403,408,413,391,395,383,377,392,401,399,402,386,394,392,405,403,387,392,394,404,406,411,391,406,401,408,387,389,392,401,399,391,390,405,402,411,408,409,408,407,404,411,413,417,405,390,399,393,392,401,402,405,411,410,405,414,414,411,405,404,417,395,396,401,403,396,406,398,401,403,407,408,388,390,393,396,398,402,405,392,404,409,406,410,405,419,423,420,417,400,402,398,400,387,395,389,397,399,386,395,386,396,396,386,392,383,392,390,380,379,391,392,385,390,400,405,408,416,417,415,415,415,417,417,419,419,420,405,411,405,401,406,408,411,403,403,408,417,402,401,395,405,395,389,394,395,381,389,392,395,399,390,396,388,370,380,383,383,405,391,387,384,389,382,369,374,377,384,379,382,375,374,372,365,366,374,379,388,378,378,373,366,368,343,355,353,358,361,347,351,334,346,340,334,327,332,334,343,331,337,335,338,344,331,333,336,341,331,336,338,322,320,322,331,330,330,331,335,326,331,325,325,327,328,331,325,331,324,324,320,323,322,327,324,323&chxl=0:|365|330|300|270|240|210|180|150|120|90|60|30|1|2:|%CE%BCSv%2Fh&chxp=0|2,0&chxr=0,0,100|1,0,50&chxs=0,676767,9,0,lt,676767|1,676767,9,0,l,676767&chxtc=0,3&chxt=x,y,t&chs=300x150&cht=lc&chco=0067B7&chds=0,5000&chls=1&chma=1,1,1,1&chg=8.333,10,1,1"
#【相双地方】杉内集会所の測定値
#628
# Measured value of the bi-phase region] Sugiuchi meeting place
# Measured value of Sugiuchi meeting place in Soso district.
ys628 <- "http://chart.apis.google.com/chart?chd=t:280,281,281,269,278,279,277,279,282,278,281,273,275,275,274,276,267,267,269,270,271,272,261,267,269,269,270,272,270,266,269,270,270,268,270,269,268,270,268,183,183,197,201,203,208,216,223,234,243,246,253,250,251,254,255,255,256,262,265,266,258,263,201,242,245,250,255,256,255,258,259,252,253,256,258,260,259,258,259,256,257,258,261,261,262,258,263,262,263,264,264,268,269,265,265,265,265,268,265,265,267,268,267,266,265,265,266,265,263,261,262,247,253,254,253,247,253,244,235,246,249,232,242,247,250,239,245,240,246,251,250,251,254,246,244,234,234,240,243,233,242,230,239,242,244,243,234,241,244,247,248,248,246,247,248,248,227,231,236,238,240,236,239,243,241,242,242,246,245,245,245,245,247,247,239,221,231,230,227,233,235,237,238,238,227,236,237,238,226,224,232,218,223,226,225,220,224,216,217,224,227,230,217,218,220,220,224,226,230,218,224,227,227,228,222,230,231,235,236,222,223,222,224,225,217,218,222,223,214,218,211,216,215,210,214,209,214,214,207,209,214,215,210,211,217,221,223,228,229,231,232,232,235,235,237,238,238,226,227,227,225,228,230,233,221,225,226,231,222,223,223,228,215,214,215,216,215,216,217,219,221,213,218,210,204,209,211,212,215,217,215,214,216,203,205,207,209,211,208,206,201,205,202,197,197,201,204,207,206,205,206,206,206,190,194,196,197,198,187,190,185,188,183,185,186,190,191,193,194,195,195,195,196,192,193,195,194,193,194,194,188,190,191,192,192,191,193,193,194,194,194,194,194,194,195,189,190,191,190,190,191,190,191,188,188&chxl=0:|365|330|300|270|240|210|180|150|120|90|60|30|1|2:|%CE%BCSv%2Fh&chxp=0|2,0&chxr=0,0,100|1,0,50&chxs=0,676767,9,0,lt,676767|1,676767,9,0,l,676767&chxtc=0,3&chxt=x,y,t&chs=300x150&cht=lc&chco=0067B7&chds=0,5000&chls=1&chma=1,1,1,1&chg=8.333,10,1,1"
# 【相双地方】前乗集会所の測定値
#741
# Measurement of the meeting place to the power [bi-phase region] before
# Measurement of Maenori meeting place in Soso district.
ys741 <- 'http://chart.apis.google.com/chart?chd=t:114,113,112,110,98,101,102,105,109,112,115,114,114,114,105,105,104,105,102,92,91,93,92,95,99,100,100,103,99,98,97,100,99,98,99,98,98,99,100,77,56,56,56,51,48,49,50,48,48,49,49,46,43,45,45,46,46,49,66,67,68,70,59,68,64,65,68,66,67,64,66,63,61,62,65,64,65,63,66,64,57,58,59,64,68,75,77,78,81,84,90,96,99,98,98,97,100,101,99,100,101,103,104,103,105,101,103,102,102,102,100,100,103,102,101,99,102,100,94,97,99,96,96,98,99,98,98,95,97,101,100,101,102,97,98,92,64,90,96,96,97,94,97,98,98,99,95,96,97,98,99,100,98,100,101,102,95,98,99,100,100,97,98,100,98,99,99,100,100,100,100,101,101,101,96,93,96,96,95,97,98,99,100,99,93,96,98,97,97,96,97,90,91,93,93,90,92,92,93,93,94,94,87,90,90,90,91,92,92,88,90,90,91,91,88,91,92,92,92,87,89,87,90,85,86,88,89,90,87,90,87,88,88,85,86,85,85,86,84,84,87,88,85,84,88,89,89,91,91,92,92,93,94,94,94,94,95,88,90,91,89,90,87,87,87,89,90,91,87,86,87,87,87,84,86,86,83,85,86,86,87,87,88,84,83,85,85,86,88,88,87,86,87,86,83,84,85,86,85,85,83,83,83,81,81,82,84,85,85,86,84,85,85,79,80,80,81,82,77,79,77,78,78,78,78,79,79,80,79,79,80,80,81,79,79,80,79,79,79,78,76,76,76,78,78,77,78,79,78,79,78,78,78,78,75,77,77,76,76,76,76,76,77,76,76&chxl=0:|365|330|300|270|240|210|180|150|120|90|60|30|1|2:|%CE%BCSv%2Fh&chxp=0|2,0&chxr=0,0,100|1,0,50&chxs=0,676767,9,0,lt,676767|1,676767,9,0,l,676767&chxtc=0,3&chxt=x,y,t&chs=300x150&cht=lc&chco=0067B7&chds=0,5000&chls=1&chma=1,1,1,1&chg=8.333,10,1,1'
# 【相双地方】町区集落センターの測定値
#1376
# Measured value of the bi-phase region] township village center
ys1376 <- 'http://chart.apis.google.com/chart?chd=t:1023,1010,991,987,953,1027,1007,1008,1006,957,963,980,1000,899,1003,994,920,995,886,1008,884,1003,910,915,918,904,977,1006,881,993,888,984,908,976,986,861,869,995,986,612,651,683,711,709,728,733,770,813,834,853,849,851,981,969,994,968,963,986,978,988,967,965,742,967,833,855,946,973,978,853,970,836,821,840,975,835,841,977,854,971,970,824,982,849,984,885,971,861,976,985,883,902,985,878,865,983,986,992,846,867,987,901,909,987,887,984,966,875,983,957,849,841,953,855,849,814,875,956,827,844,849,825,830,849,865,826,838,825,834,869,853,872,949,854,834,1003,1004,1041,1042,1012,1024,865,989,1009,1015,1003,981,997,1024,902,1029,1027,1005,899,894,908,975,986,1000,1009,1014,996,985,998,1003,999,991,1008,1020,988,1003,1016,919,921,984,847,872,981,980,966,996,991,898,890,977,988,984,979,875,874,989,861,862,873,965,858,867,846,844,860,960,972,845,847,854,855,869,869,879,850,865,867,872,877,859,881,873,884,885,849,853,850,849,828,837,829,841,849,826,840,823,833,839,818,834,814,829,830,816,813,827,831,825,822,837,845,856,866,930,860,861,862,869,873,872,878,881,847,851,855,847,850,854,861,846,847,855,870,862,858,860,870,849,840,837,841,818,833,839,844,851,834,848,828,803,814,820,821,854,834,836,826,837,811,796,799,809,825,817,813,801,803,797,784,790,808,813,820,787,795,780,772,774,743,739,743,750,754,729,817,791,793,795,797,769,782,784,808,793,805,790,799,812,783,779,789,805,779,793,800,747,752,748,771,768,769,772,785,766,777,782,779,774,767,777,763,761,758,759,747,764,758,763,746,745&chxl=0:|365|330|300|270|240|210|180|150|120|90|60|30|1|2:|%CE%BCSv%2Fh&chxp=0|2,0&chxr=0,0,100|1,0,50&chxs=0,676767,9,0,lt,676767|1,676767,9,0,l,676767&chxtc=0,3&chxt=x,y,t&chs=300x150&cht=lc&chco=0067B7&chds=0,5000&chls=1&chma=1,1,1,1&chg=8.333,10,1,1'
linktodata <- function(ys,i) {
ys <- gsub('.*t:','',ys)
ys <- gsub('&chxl.*','',ys)
dose <- scan(textConnection(ys),sep=',')
data.frame(dose=dose,station=i,relday = -(length(dose):1))
}
locations <-data.frame(station=c(704,628,741,1376),
loc=factor(c('Murohara community center in Soso district','Sugiuchi meeting place in Soso district',
'Maenori meeting place in Soso district', 'township village center')))
r1 <- rbind(linktodata(ys704,704),
linktodata(ys628,628),
linktodata(ys1376,1376),
linktodata(ys741,741))
r1$doseus <- r1$dose/100
r1$day <- as.Date("05-12-2013",format='%d-%m-%Y')+r1$relday
Sys.setlocale("LC_TIME",'C')
r1 <- merge(r1,locations)
r1$status <- 'Observed'
library(robust)
models <- lapply(levels(r1$loc),function(st) {
r2 <- r1[r1$loc==st,]
lmrob(log10(doseus) ~ relday,data=r2)
})
topred <- r1[r1$station==r1$station[1],c('relday','day')]
preds <- lapply(1:nlevels(r1$loc),function(i) {
preds <- topred
preds$doseus <- 10^predict(models[[i]],preds)
preds$status <- 'Predicted'
preds$loc <- levels(r1$loc)[i]
preds
}
)
preds <- do.call(rbind,preds)
preds <- merge(preds,locations)
all <- rbind(subset(r1,select=-dose),preds)
library(lattice)
png('fuk2.png')
xyplot(doseus ~ day | loc,groups= status,data=all,type='l',
scales=list(y=list(log=10)),
par.strip.text=list(cex=.7),
ylab=expression(mu * "Sv per hour" ))
dev.off()
halflives <- t(sa <- sapply(models,function(x) {
point <- coef(x)[2]
sd <- sqrt(vcov(x)[2,2])
yy <- c(log10(.5)/c(`0.025`=point-1.96*sd,mean=point,`0.975`=point+1.96*sd))/365
names(yy) <- c('Lower CI','mean','Upper CI')
yy
}))
rownames(halflives) <- levels(r1$loc)
halflives
#704
# Measurements [phase] of bi-district community center Murohara
# Measurements of Murohara community center in Soso district.
ys704 <- "http://chart.apis.google.com/chart?chd=t:433,432,433,410,431,432,426,430,441,438,435,432,435,416,422,431,422,422,407,425,405,421,419,424,421,418,415,428,412,402,414,404,413,412,401,402,406,413,424,276,310,334,352,357,370,389,396,398,402,405,404,396,397,405,404,404,407,417,419,411,413,411,332,409,398,400,409,388,402,402,403,394,387,400,408,394,394,389,405,384,391,387,399,404,407,416,407,403,409,409,412,423,428,415,411,408,416,431,403,411,415,420,436,426,420,407,416,414,411,411,404,402,415,406,405,393,420,403,389,401,403,390,397,403,410,388,393,388,395,412,403,408,413,391,395,383,377,392,401,399,402,386,394,392,405,403,387,392,394,404,406,411,391,406,401,408,387,389,392,401,399,391,390,405,402,411,408,409,408,407,404,411,413,417,405,390,399,393,392,401,402,405,411,410,405,414,414,411,405,404,417,395,396,401,403,396,406,398,401,403,407,408,388,390,393,396,398,402,405,392,404,409,406,410,405,419,423,420,417,400,402,398,400,387,395,389,397,399,386,395,386,396,396,386,392,383,392,390,380,379,391,392,385,390,400,405,408,416,417,415,415,415,417,417,419,419,420,405,411,405,401,406,408,411,403,403,408,417,402,401,395,405,395,389,394,395,381,389,392,395,399,390,396,388,370,380,383,383,405,391,387,384,389,382,369,374,377,384,379,382,375,374,372,365,366,374,379,388,378,378,373,366,368,343,355,353,358,361,347,351,334,346,340,334,327,332,334,343,331,337,335,338,344,331,333,336,341,331,336,338,322,320,322,331,330,330,331,335,326,331,325,325,327,328,331,325,331,324,324,320,323,322,327,324,323&chxl=0:|365|330|300|270|240|210|180|150|120|90|60|30|1|2:|%CE%BCSv%2Fh&chxp=0|2,0&chxr=0,0,100|1,0,50&chxs=0,676767,9,0,lt,676767|1,676767,9,0,l,676767&chxtc=0,3&chxt=x,y,t&chs=300x150&cht=lc&chco=0067B7&chds=0,5000&chls=1&chma=1,1,1,1&chg=8.333,10,1,1"
#【相双地方】杉内集会所の測定値
#628
# Measured value of the bi-phase region] Sugiuchi meeting place
# Measured value of Sugiuchi meeting place in Soso district.
ys628 <- "http://chart.apis.google.com/chart?chd=t:280,281,281,269,278,279,277,279,282,278,281,273,275,275,274,276,267,267,269,270,271,272,261,267,269,269,270,272,270,266,269,270,270,268,270,269,268,270,268,183,183,197,201,203,208,216,223,234,243,246,253,250,251,254,255,255,256,262,265,266,258,263,201,242,245,250,255,256,255,258,259,252,253,256,258,260,259,258,259,256,257,258,261,261,262,258,263,262,263,264,264,268,269,265,265,265,265,268,265,265,267,268,267,266,265,265,266,265,263,261,262,247,253,254,253,247,253,244,235,246,249,232,242,247,250,239,245,240,246,251,250,251,254,246,244,234,234,240,243,233,242,230,239,242,244,243,234,241,244,247,248,248,246,247,248,248,227,231,236,238,240,236,239,243,241,242,242,246,245,245,245,245,247,247,239,221,231,230,227,233,235,237,238,238,227,236,237,238,226,224,232,218,223,226,225,220,224,216,217,224,227,230,217,218,220,220,224,226,230,218,224,227,227,228,222,230,231,235,236,222,223,222,224,225,217,218,222,223,214,218,211,216,215,210,214,209,214,214,207,209,214,215,210,211,217,221,223,228,229,231,232,232,235,235,237,238,238,226,227,227,225,228,230,233,221,225,226,231,222,223,223,228,215,214,215,216,215,216,217,219,221,213,218,210,204,209,211,212,215,217,215,214,216,203,205,207,209,211,208,206,201,205,202,197,197,201,204,207,206,205,206,206,206,190,194,196,197,198,187,190,185,188,183,185,186,190,191,193,194,195,195,195,196,192,193,195,194,193,194,194,188,190,191,192,192,191,193,193,194,194,194,194,194,194,195,189,190,191,190,190,191,190,191,188,188&chxl=0:|365|330|300|270|240|210|180|150|120|90|60|30|1|2:|%CE%BCSv%2Fh&chxp=0|2,0&chxr=0,0,100|1,0,50&chxs=0,676767,9,0,lt,676767|1,676767,9,0,l,676767&chxtc=0,3&chxt=x,y,t&chs=300x150&cht=lc&chco=0067B7&chds=0,5000&chls=1&chma=1,1,1,1&chg=8.333,10,1,1"
# 【相双地方】前乗集会所の測定値
#741
# Measurement of the meeting place to the power [bi-phase region] before
# Measurement of Maenori meeting place in Soso district.
ys741 <- 'http://chart.apis.google.com/chart?chd=t:114,113,112,110,98,101,102,105,109,112,115,114,114,114,105,105,104,105,102,92,91,93,92,95,99,100,100,103,99,98,97,100,99,98,99,98,98,99,100,77,56,56,56,51,48,49,50,48,48,49,49,46,43,45,45,46,46,49,66,67,68,70,59,68,64,65,68,66,67,64,66,63,61,62,65,64,65,63,66,64,57,58,59,64,68,75,77,78,81,84,90,96,99,98,98,97,100,101,99,100,101,103,104,103,105,101,103,102,102,102,100,100,103,102,101,99,102,100,94,97,99,96,96,98,99,98,98,95,97,101,100,101,102,97,98,92,64,90,96,96,97,94,97,98,98,99,95,96,97,98,99,100,98,100,101,102,95,98,99,100,100,97,98,100,98,99,99,100,100,100,100,101,101,101,96,93,96,96,95,97,98,99,100,99,93,96,98,97,97,96,97,90,91,93,93,90,92,92,93,93,94,94,87,90,90,90,91,92,92,88,90,90,91,91,88,91,92,92,92,87,89,87,90,85,86,88,89,90,87,90,87,88,88,85,86,85,85,86,84,84,87,88,85,84,88,89,89,91,91,92,92,93,94,94,94,94,95,88,90,91,89,90,87,87,87,89,90,91,87,86,87,87,87,84,86,86,83,85,86,86,87,87,88,84,83,85,85,86,88,88,87,86,87,86,83,84,85,86,85,85,83,83,83,81,81,82,84,85,85,86,84,85,85,79,80,80,81,82,77,79,77,78,78,78,78,79,79,80,79,79,80,80,81,79,79,80,79,79,79,78,76,76,76,78,78,77,78,79,78,79,78,78,78,78,75,77,77,76,76,76,76,76,77,76,76&chxl=0:|365|330|300|270|240|210|180|150|120|90|60|30|1|2:|%CE%BCSv%2Fh&chxp=0|2,0&chxr=0,0,100|1,0,50&chxs=0,676767,9,0,lt,676767|1,676767,9,0,l,676767&chxtc=0,3&chxt=x,y,t&chs=300x150&cht=lc&chco=0067B7&chds=0,5000&chls=1&chma=1,1,1,1&chg=8.333,10,1,1'
# 【相双地方】町区集落センターの測定値
#1376
# Measured value of the bi-phase region] township village center
ys1376 <- 'http://chart.apis.google.com/chart?chd=t:1023,1010,991,987,953,1027,1007,1008,1006,957,963,980,1000,899,1003,994,920,995,886,1008,884,1003,910,915,918,904,977,1006,881,993,888,984,908,976,986,861,869,995,986,612,651,683,711,709,728,733,770,813,834,853,849,851,981,969,994,968,963,986,978,988,967,965,742,967,833,855,946,973,978,853,970,836,821,840,975,835,841,977,854,971,970,824,982,849,984,885,971,861,976,985,883,902,985,878,865,983,986,992,846,867,987,901,909,987,887,984,966,875,983,957,849,841,953,855,849,814,875,956,827,844,849,825,830,849,865,826,838,825,834,869,853,872,949,854,834,1003,1004,1041,1042,1012,1024,865,989,1009,1015,1003,981,997,1024,902,1029,1027,1005,899,894,908,975,986,1000,1009,1014,996,985,998,1003,999,991,1008,1020,988,1003,1016,919,921,984,847,872,981,980,966,996,991,898,890,977,988,984,979,875,874,989,861,862,873,965,858,867,846,844,860,960,972,845,847,854,855,869,869,879,850,865,867,872,877,859,881,873,884,885,849,853,850,849,828,837,829,841,849,826,840,823,833,839,818,834,814,829,830,816,813,827,831,825,822,837,845,856,866,930,860,861,862,869,873,872,878,881,847,851,855,847,850,854,861,846,847,855,870,862,858,860,870,849,840,837,841,818,833,839,844,851,834,848,828,803,814,820,821,854,834,836,826,837,811,796,799,809,825,817,813,801,803,797,784,790,808,813,820,787,795,780,772,774,743,739,743,750,754,729,817,791,793,795,797,769,782,784,808,793,805,790,799,812,783,779,789,805,779,793,800,747,752,748,771,768,769,772,785,766,777,782,779,774,767,777,763,761,758,759,747,764,758,763,746,745&chxl=0:|365|330|300|270|240|210|180|150|120|90|60|30|1|2:|%CE%BCSv%2Fh&chxp=0|2,0&chxr=0,0,100|1,0,50&chxs=0,676767,9,0,lt,676767|1,676767,9,0,l,676767&chxtc=0,3&chxt=x,y,t&chs=300x150&cht=lc&chco=0067B7&chds=0,5000&chls=1&chma=1,1,1,1&chg=8.333,10,1,1'
linktodata <- function(ys,i) {
ys <- gsub('.*t:','',ys)
ys <- gsub('&chxl.*','',ys)
dose <- scan(textConnection(ys),sep=',')
data.frame(dose=dose,station=i,relday = -(length(dose):1))
}
locations <-data.frame(station=c(704,628,741,1376),
loc=factor(c('Murohara community center in Soso district','Sugiuchi meeting place in Soso district',
'Maenori meeting place in Soso district', 'township village center')))
r1 <- rbind(linktodata(ys704,704),
linktodata(ys628,628),
linktodata(ys1376,1376),
linktodata(ys741,741))
r1$doseus <- r1$dose/100
r1$day <- as.Date("05-12-2013",format='%d-%m-%Y')+r1$relday
Sys.setlocale("LC_TIME",'C')
r1 <- merge(r1,locations)
r1$status <- 'Observed'
library(robust)
models <- lapply(levels(r1$loc),function(st) {
r2 <- r1[r1$loc==st,]
lmrob(log10(doseus) ~ relday,data=r2)
})
topred <- r1[r1$station==r1$station[1],c('relday','day')]
preds <- lapply(1:nlevels(r1$loc),function(i) {
preds <- topred
preds$doseus <- 10^predict(models[[i]],preds)
preds$status <- 'Predicted'
preds$loc <- levels(r1$loc)[i]
preds
}
)
preds <- do.call(rbind,preds)
preds <- merge(preds,locations)
all <- rbind(subset(r1,select=-dose),preds)
library(lattice)
png('fuk2.png')
xyplot(doseus ~ day | loc,groups= status,data=all,type='l',
scales=list(y=list(log=10)),
par.strip.text=list(cex=.7),
ylab=expression(mu * "Sv per hour" ))
dev.off()
halflives <- t(sa <- sapply(models,function(x) {
point <- coef(x)[2]
sd <- sqrt(vcov(x)[2,2])
yy <- c(log10(.5)/c(`0.025`=point-1.96*sd,mean=point,`0.975`=point+1.96*sd))/365
names(yy) <- c('Lower CI','mean','Upper CI')
yy
}))
rownames(halflives) <- levels(r1$loc)
halflives
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