@@ -1322,20 +1322,22 @@ blmod_feng_startpars <- function(time, activity,
13221322 rise_coef <- coef(rise_lm )
13231323 startpars $ t0 <- as.numeric(- 1 * (rise_coef [1 ] / rise_coef [2 ]))
13241324
1325- if (startpars $ t0 < 0 ) { # This can happen if the peak is very dispersed
1325+ if ( is.na(startpars $ t0 ) ) { startpars $ t0 <- min(time ) }
1326+
1327+ if (startpars $ t0 < min(time )) { # This can happen if the peak is very dispersed
13261328 bloodrise <- bloodrise [blood $ activity > = 0.1 * startpars $ peakval , ]
13271329 rise_lm <- lm(activity ~ time , data = bloodrise )
13281330 rise_coef <- coef(rise_lm )
13291331 startpars $ t0 <- as.numeric(- 1 * (rise_coef [1 ]/ rise_coef [2 ]))
13301332 }
13311333
1332- if (startpars $ t0 < 0 ) { # If still less than 0
1333- startpars $ t0 <- 0
1334+ if (startpars $ t0 < min( time ) ) { # If still less than 0
1335+ startpars $ t0 <- min( time )
13341336 }
13351337 }
13361338
1337- if (startpars $ t0 < 0 ) { # If still less than 0
1338- startpars $ t0 <- 0
1339+ if (startpars $ t0 < min( time ) ) { # If still less than 0
1340+ startpars $ t0 <- min( time )
13391341 }
13401342
13411343
@@ -1456,8 +1458,8 @@ blmod_feng_startpars <- function(time, activity,
14561458 startpars $ A <- startpars $ B
14571459 startpars $ alpha <- startpars $ beta
14581460
1459- warning(" not enough points left to define A and alpha: consider
1460- revising the expdecay_props" )
1461+ warning(" not enough points left to define A and alpha starting parameters:
1462+ consider revising the expdecay_props" )
14611463 }
14621464
14631465 # return the list in correct order
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