@@ -251,6 +251,8 @@ ggplot(stat_rebound_dt, aes(x=quiet_baseline_day3h, y=quiet_rebound_day3h)) + ge
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summary(lm(quiet_rebound_day3h ~ quiet_baseline_day3h * sex , stat_rebound_dt [treatment == " Control" ]))
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summary(lm(sleep_rebound_day3h ~ sleep_baseline_day3h * sex , stat_rebound_dt [treatment == " Control" ]))
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+
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+
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ggplot(stat_rebound_dt [sdi %in% c(0 , 10 )], aes(x = quiet_baseline_day3h , y = quiet_rebound_day3h , colour = treatment )) + geom_point(alpha = 1 ) + facet_grid(sex ~ . ) +
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# geom_smooth(data=stat_rebound_dt[treatment=="Control"])
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geom_smooth(method = " lm" )
@@ -267,6 +269,87 @@ all_pl_objs$bar_quiet_reb_day3h_diff <- ggplot(stat_rebound_dt, aes(interval, qu
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geom_hline(yintercept = 0 , colour = " red" , linetype = 2 ) + scale_y_continuous(name = " Extra quiescence in 3h (min)" )
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+
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+ # ## sleep/quiescence loss vs rebound
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+ # ggplot(stat_rebound_dt, aes(x=quiet_baseline_day, y=quiet_rebound_day)) + geom_point(alpha=.3) + facet_grid(sex ~ .) + scale_x_sqrt()+ scale_y_sqrt()
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+ summary(lm(quiet_sd_night ~ quiet_baseline_night * sex , stat_rebound_dt [treatment == " Control" ]))
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+ summary(lm(sleep_sd_night ~ sleep_baseline_night * sex , stat_rebound_dt [treatment == " Control" ]))
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+
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+
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+
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+ ggplot(stat_rebound_dt [sdi %in% c(0 , 10 )], aes(x = quiet_baseline_night , y = quiet_sd_night , colour = treatment )) + geom_point(alpha = 1 ) + facet_grid(sex ~ . ) +
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+ # geom_smooth(data=stat_rebound_dt[treatment=="Control"])
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+ geom_smooth(method = " lm" )
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+
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+
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+ mod <- lm(quiet_sd_night ~ quiet_baseline_night * sex , stat_rebound_dt [sdi == 0 ])
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+
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+ stat_rebound_dt [, quiet_sd_night_pred : = predict(mod , stat_rebound_dt )]
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+ stat_rebound_dt [, quiet_sd_night_diff : = quiet_sd_night - quiet_sd_night_pred ]
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+
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+
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+ ggplot(stat_rebound_dt , aes(interval , - quiet_sd_night_diff * 12 * 60 , colour = treatment )) + layer_barpl() +
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+ geom_hline(yintercept = 0 , colour = " red" , linetype = 2 ) + scale_y_continuous(name = " Loss quiescence in 12h (min)" )
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+
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+ ggplot(stat_rebound_dt [treatment == " SD" ], aes( - quiet_sd_night_diff * 12 * 60 , quiet_rebound_day3h_diff * 3 * 60 , colour = sdi )) +
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+ geom_point() +
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+ geom_smooth(method = " lm" ) +
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+ scale_x_continuous(name = " Loss quiescence during SD (min)" ) +
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+ scale_y_continuous(name = " Extra quiescence in rebound (min)" ) +
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+ facet_grid(interval ~ sex )
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+
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+ mod <- lm(quiet_rebound_day3h_diff ~ quiet_sd_night_diff * interval ,stat_rebound_dt [sex == " F" & treatment == " SD" ])
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+
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+ ggplot(stat_rebound_dt , aes( quiet_sd_night_diff * 12 * 60 , interactions , colour = sex )) +
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+ geom_point() +
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+ # geom_smooth(method="lm") +
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+ scale_x_continuous(name = " Extra Quiescence during SD (min)" ) +
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+ scale_y_sqrt(name = " N_interations" ) +
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+ facet_wrap( ~ interval )
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+
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+ ggplot(stat_rebound_dt [treatment == " SD" ], aes( - quiet_sd_night_diff * 12 * 60 , interactions , colour = sdi )) +
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+ geom_point() +
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+ geom_smooth(method = " lm" , mapping = aes(fill = interval )) +
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+ geom_smooth(method = " lm" ) +
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+ scale_x_continuous(name = " Loss quiescence during SD (min)" ) +
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+ scale_y_sqrt(name = " N_interations" ) +
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+ facet_wrap( ~ sex )
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+
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+
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+ ggplot(stat_rebound_dt [treatment == " SD" ], aes( - quiet_sd_night_diff * 12 * 60 , quiet_rebound_day3h_diff * 3 * 60 , colour = sleep_sd_night > .20 )) +
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+ geom_point() +
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+ geom_smooth(method = " lm" ) +
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+ scale_x_continuous(name = " Loss quiescence during SD (min)" ) +
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+ scale_y_continuous(name = " Extra quiescence in rebound (min)" ) +
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+ facet_grid( interval ~ sex )
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+
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+
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+ ggplot(stat_rebound_dt , aes( quiet_baseline_night * 12 * 60 , quiet_sd_night * 12 * 60 )) +
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+ geom_point() +
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+ geom_smooth(method = " lm" ) +
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+ scale_x_continuous() +
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+ # scale_y_sqrt(name="N_interations") +
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+ facet_grid( interval ~ sex )
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+
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+
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+ ggplot(stat_rebound_dt [treatment == " SD" ], aes( quiet_rebound_day3h_diff * 3 * 60 , interactions , colour = sdi )) +
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+ geom_point() +
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+ geom_smooth(method = " lm" , mapping = aes(fill = interval )) +
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+ geom_smooth(method = " lm" ) +
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+ scale_x_continuous(name = " Extra quiescence in rebound (min)" )
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+ scale_y_sqrt(name = " N_interations" ) +
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+ facet_wrap( ~ sex )
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+
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+ # ~ all_pl_objs$bar_quiet_reb_day3h_min_baseline <- ggplot(stat_rebound_dt, aes(interval, quiet_rebound_day3h - quiet_baseline_day3h, colour=treatment)) + layer_barpl()
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+ # ~ all_pl_objs$bar_quiet_reb_day3h_diff <- ggplot(stat_rebound_dt, aes(interval, quiet_rebound_day3h_diff * 3 * 60, colour=treatment)) + layer_barpl() +
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+ # ~ geom_hline(yintercept=0, colour="red", linetype=2) + scale_y_continuous(name="Extra quiescence in 3h (min)")
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+
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+
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+
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+
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+
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+ # ##
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+
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summ_stat <- stat_rebound_dt [,{
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w = wilcox.test(quiet_rebound_day3h_diff , mu = 0 , alternative = " greater" )
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list (pval = w $ p.value , n = .N )},
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