Plot of the fitted values of the non-linear growth models {nlgm}

Plot of the fitted values of the non-linear growth models

Description

Plot of the fitted values of the non-linear growth models.

Usage

fit.plot(mat)

Arguments

mat

A data.frame object with three columns, the observed cumulative cases, the time and the fitted values from a model. The names must be "cases", "ti" and "fit". See the examples below for an illustration.

Details

The scatter plot of the cumulative cases versus time is plotted. Then, lines with the fitted cases are added.

Value

A scatter plot of the cumulative cases versus time, including lines with the fitted cases.

Author(s)

Nikolaos Pandis and Michail Tsagris.

R implementation and documentation: Nikolaos Pandis [e-mail] and Michail Tsagris [e-mail].

References

Reddy T., Shkedy Z., van Rensburg C. J., Mwambi H., Debba P., Zuma K. and Manda, S. (2021). Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach. BMC medical research methodology, 21(1), 1-11.

See Also

nlgm, boot.pred

Examples

## Data on the 96 first days of Belgium
y <- c( 19, 38, 72, 125, 206, 316, 343, 407, 501, 600, 774, 1024, 1362, 1541, 1755, 2142,
        2564, 3098, 3811, 4473, 4942, 5428, 6756, 7951, 9150, 10513, 12031, 12875, 13558,
        15296, 16977, 18493, 19971, 21665, 22587, 23252, 25186, 26701, 28299, 30538, 32874,
        33903, 34427, 34964, 36524, 38157, 39831, 41225, 41947, 42390, 43666, 44936, 45713,
        46689, 47500, 47888, 48093, 48848, 49417, 49939, 50525, 50762, 51048, 51188, 51858,
        52404, 52956, 53398, 53881, 54121, 54239, 54715, 55110, 55431, 55736, 56082, 56229,
        56310, 56627, 56919, 57304, 57374, 57622, 57745, 57820, 58134, 58336, 58518, 58689,
        58854, 58915, 58964, 59023, 59204, 59363, 59535 )
ti <- 1:96
mod <- nlgm(y, ti, type = "4logistic", ini = c(60000, 1, 1, 35) )
mat <- cbind(y, ti, mod$fit)
colnames(mat) <- c("cases", "ti", "fit")
mat <- as.data.frame(mat)
fit.plot(mat)