Merge pull request #53 from biodosetools-team/biodosetools-3.6.2

CRAN 3.6.2

Author: Francis-88-cell

DESCRIPTION

@@ -1,5 +1,5 @@
 Package: biodosetools
-Title: An R Shiny Application for Biological dosimetry
+Title: An R Shiny Application for Biological Dosimetry
 Version: 3.6.2
 Authors@R:
     c(person(given = "Alfredo",

dev/characteritic_limits_poisson.R

@@ -48,7 +48,7 @@ fit_results_neutrons$fit_coeffs
 
 ## Input case data
 
-Next we can write a case description in the corresponding box. Then, some parameters must be reported in order to perform the calculations: "Ratio (gamma/neutron)", "Maximum number of dics per cell", "Number of cases" and the dicentric distribution. The dicentric distribution table will automatically provide with total number of cells ($N$), total number of aberrations ($X$), as well as mean ($\bar{y}$), standard error ($\sigma$), dispersion index ($\sigma^{2}/\bar{y}$), and $u$-value. An ID column will also appear to identify each case. Multiple cases are supported. Finally, the "Calculate and plot" button will give the results.
+Next we can write a case description in the corresponding box. Then, some parameters must be reported in order to perform the calculations: "Ratio (gamma/neutron)", "Maximum number of dics per cell", "Number of cases" and the dicentric distribution (3.Data input). The dicentric distribution table will automatically provide with total number of cells ($N$), total number of aberrations ($X$), as well as mean ($\bar{y}$), standard error ($\sigma$), dispersion index ($\sigma^{2}/\bar{y}$), and $u$-value. An ID column will also appear to identify each case. Multiple cases are supported. Finally, the "Estimate dose" button will give the results.
 
 ```{r sc-dic-mixed-02, echo=FALSE, out.width='100%', fig.align='center', fig.cap="'Data input' box in the dose estimation module for criticality accidents."}
 knitr::include_graphics("figures/screenshot-dicentrics-mixed-02.png")

dev/characteritic_limits_poisson_simplified.R

@@ -53,10 +53,6 @@ tables_list <- summary_curve_tables(
 
 Clicking on "Plot summary" will display four different plots in the "Plots summary" Results tabbox.
 
-```{r sc-dic-estimate-02, echo=FALSE, out.width='100%', fig.align='center', fig.cap="Plots from the summary in the interlaboratory comparison module."}
-knitr::include_graphics("figures/screenshot-interlab-02.png")
-```
-
 This step is accomplished in R by calling: `yield_boxplot()`, `dose_boxplot()`, `u_test_plot()` and `DI_plot()` functions:
 
 ```{r summary_plots}
@@ -82,9 +78,6 @@ DI_plot(
 ```
 Clicking on "Plot curves" on the Curve section on the Results tabbox will display four different plots in the "Plots curves" Results tabbox.In this example all curves were manually scored, therefore there are only two plots.
 
-```{r sc-interlab-03, echo=FALSE, out.width='100%', fig.align='center', fig.cap=" Curve plots in the interlaboratory comparison module."}
-knitr::include_graphics("figures/screenshot-interlab-03.png")
-```
 This step is accomplished in R by calling: `curves_plot()`and `bar_plots()` functions:
 
 ```{r curve-plots}
@@ -115,13 +108,6 @@ Clicking "Calculate and plot" will display the results table:
 knitr::include_graphics("figures/screenshot-interlab-05.png")
 ```
 
-And all the Plots:
-```{r sc-interlab-06, echo=FALSE, out.width='100%', fig.align='center', fig.cap="'Interlabpratory comparison Plots' in the interlaboratory comparison module."}
-knitr::include_graphics("figures/screenshot-interlab-06a.png")
-knitr::include_graphics("figures/screenshot-interlab-06b.png")
-```
-
-
 To calculate the Z-Score in R we can call `calc.zValue.new()`: 
 
 ```{r interlab-zscore}