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autocorrelation function (acf) plots  (Minitab Inc)

 
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    Minitab Inc autocorrelation function (acf) plots
    Autocorrelation Function (Acf) Plots, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/autocorrelation+function+plot/autocorrelation+function++acf++plots/10__1086_slash_674745-97-2-7
    Average 90 stars, based on 1 article reviews
    autocorrelation function (acf) plots - by Bioz Stars, 2026-11
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    Article Title: Temporal variability in discharge and benthic macroinvertebrate assemblages in a tropical glacier-fed stream
    Article Snippet: High flows are major disturbances in streams and cause benthic communities to vary temporally.. Meltwater runoff in glacier-fed streams at temperate–arctic latitudes primarily follows a strong seasonal pattern.. In contrast, such streams at the equator show less seasonal, but more-pronounced diel variability in discharge that tracks a year-round diurnal melting–nocturnal freezing cycle of glaciers.



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    ( A-D ) total percentage use of combined alternation strategies (LRLR + RLRL) during a 1 h exploration trial in the FMP Y-maze. Each drug and dose were compared to the mean (µ=35.989) of the control group (n=18). All doses of MK801 (0.1, 0.75 and 2.0 mg/L, n=13 per group) showed significant decrease of alternations (P<0.0001) (A). Scopolamine (0.25, 0.5 and 1.0 mg/L, n=13 per group) showed the largest decrease in alternations at the lowest dose (0.25 mg/L) (P<0.0001) and a reduced decrease at the mid and high doses (P<0.001) (B). SCH-23390 showed similar decrease in alternations to MK801 (0.5, 1.0, 1.5 mg/L, n=12 per group) (P<0.0001) (C). Sulpiride showed no significant effect on alternations (P=0.590) (D). ( E-H ) Percentage use of each of the 16 tetragram sequences over the duration of a 1 h trial for low, mid and high doses for each drug compared to the control. (E) insert, the highest dose of MK801 (2.0 mg/L) shows alternations were used less than repetitions throughout the trial (P=0.0364). (G) insert, high dose of SCH-23390 caused a significant increase in the use of the repetition strategy (LLLL + RRRR) compared to control fish (P<0.0001). ( I ) ACF plots for each individual fish were computed in MATLAB (Supplementary_Time series analysis, Figure 7-10, Table.3) , mean number of lag points with significant autocorrelation were compared to mean of controls. All drug treated animals showed a significant increase in decay rate (P<0.0001) showing a reduced influence of past choices on lag(k). Error bars represent ± SEM.

    Journal: bioRxiv

    Article Title: A Test of Memory: The Fish, The Mouse, The Fly And The Human

    doi: 10.1101/2020.02.15.950816

    Figure Lengend Snippet: ( A-D ) total percentage use of combined alternation strategies (LRLR + RLRL) during a 1 h exploration trial in the FMP Y-maze. Each drug and dose were compared to the mean (µ=35.989) of the control group (n=18). All doses of MK801 (0.1, 0.75 and 2.0 mg/L, n=13 per group) showed significant decrease of alternations (P<0.0001) (A). Scopolamine (0.25, 0.5 and 1.0 mg/L, n=13 per group) showed the largest decrease in alternations at the lowest dose (0.25 mg/L) (P<0.0001) and a reduced decrease at the mid and high doses (P<0.001) (B). SCH-23390 showed similar decrease in alternations to MK801 (0.5, 1.0, 1.5 mg/L, n=12 per group) (P<0.0001) (C). Sulpiride showed no significant effect on alternations (P=0.590) (D). ( E-H ) Percentage use of each of the 16 tetragram sequences over the duration of a 1 h trial for low, mid and high doses for each drug compared to the control. (E) insert, the highest dose of MK801 (2.0 mg/L) shows alternations were used less than repetitions throughout the trial (P=0.0364). (G) insert, high dose of SCH-23390 caused a significant increase in the use of the repetition strategy (LLLL + RRRR) compared to control fish (P<0.0001). ( I ) ACF plots for each individual fish were computed in MATLAB (Supplementary_Time series analysis, Figure 7-10, Table.3) , mean number of lag points with significant autocorrelation were compared to mean of controls. All drug treated animals showed a significant increase in decay rate (P<0.0001) showing a reduced influence of past choices on lag(k). Error bars represent ± SEM.

    Article Snippet: This was tested by computing the lag plot and autocorrelation function (ACF) using a custom designed script in MATLAB (Supplementary_1.4_Time series analysis) .

    Techniques: Control