example XLs files added to www, test files 'circles.xlsx' and 'all_l.xlsx'added.

TestFileRoxygen.R

@@ -204,8 +204,8 @@ divFUN(x,Div,N,res,noDil)
 # [1] 0.3333333333 0.1111111111 0.0370370370 0.0123456790 0.0041152263 0.0013717421 0.0004572474
 
 
-circle <- read.csv("~/plateflow/circle.csv")
+circle <- read.csv("./tests/circle.csv")
-all_l2 <- read.csv("~/plateflow/all_l2.csv")
+all_l2 <- read.csv("./tests/all_l2.csv")
 sigmoid <- c(10.0,  10.0, 110.0, 110.0, 1.0,  1.0, -3.5,  0.0)
 indS <- 3
 indT <- 3

app.R

@@ -137,7 +137,7 @@ server <- function(input, output, session) {
                                
                               #actionLink("selectall","SelectAll"),
                                h5("\n\n\n Author: Franz Innerbichler, InnerAnalytics")),
-                        column(6, 
+                        column(4, 
                                h4("Suitability tests for 4-parametric logistic regression"),
                                checkboxGroupInput("selectedSSTs", "Which suitability tests to be used?", choices= c("F-test on Regr."="1",
                                    "EQ-test on lower asymptote difference"= "2",
@@ -155,6 +155,10 @@ server <- function(input, output, session) {
                                                   selected= c("1","2","3","4","5","6","7","8"))
                                ),
                         column(4,
+                              h4("Example of EXCEL file "),
+                              h4("with column of dilutions and at least 2 columns of reference and the same amount of columns with test sample readouts."),
+                              tags$img(src="ExampleXL.png", class="adv_logo", width="100%"),
+                               
                                plotOutput("plotSing", width="400px", height="300px"))
                         
                           ),

tests/all_l2.csv

@@ -0,0 +1,49 @@
+"","log_dose","replname","readout","isRef","isSample"
+"1",-1.20397280432594,"R_dil1",98.1494842397355,1,0
+"2",-1.89711998488588,"R_dil1",93.1587231445345,1,0
+"3",-2.59026716544583,"R_dil1",80.3990552915314,1,0
+"4",-3.28341434600577,"R_dil1",61.033310227763,1,0
+"5",-3.97656152656572,"R_dil1",49.6514876034121,1,0
+"6",-4.669175515964,"R_dil1",32.0572319366494,1,0
+"7",-5.36232269652395,"R_dil1",21.1596181190714,1,0
+"8",-6.05333995082607,"R_dil1",15.5847305451664,1,0
+"9",-1.20397280432594,"R_dil2",101.132351766499,1,0
+"10",-1.89711998488588,"R_dil2",91.2235853012395,1,0
+"11",-2.59026716544583,"R_dil2",81.7476695354555,1,0
+"12",-3.28341434600577,"R_dil2",69.3997533685165,1,0
+"13",-3.97656152656572,"R_dil2",50.6311734518003,1,0
+"14",-4.669175515964,"R_dil2",31.1550411274784,1,0
+"15",-5.36232269652395,"R_dil2",27.3660034807448,1,0
+"16",-6.05333995082607,"R_dil2",14.0792874148632,1,0
+"17",-1.20397280432594,"R_dil3",105.462156547676,1,0
+"18",-1.89711998488588,"R_dil3",91.4808765950732,1,0
+"19",-2.59026716544583,"R_dil3",82.9619247116025,1,0
+"20",-3.28341434600577,"R_dil3",65.1152980929551,1,0
+"21",-3.97656152656572,"R_dil3",48.2011497920146,1,0
+"22",-4.669175515964,"R_dil3",36.4442269766279,1,0
+"23",-5.36232269652395,"R_dil3",20.8814652853181,1,0
+"24",-6.05333995082607,"R_dil3",14.6830036985303,1,0
+"25",-1.20397280432594,"T_dil1",96.0548967939464,0,1
+"26",-1.89711998488588,"T_dil1",92.64362455265,0,1
+"27",-2.59026716544583,"T_dil1",81.663576232501,0,1
+"28",-3.28341434600577,"T_dil1",62.7648499188736,0,1
+"29",-3.97656152656572,"T_dil1",43.5953468051591,0,1
+"30",-4.669175515964,"T_dil1",40.4168539380897,0,1
+"31",-5.36232269652395,"T_dil1",20.4592651764409,0,1
+"32",-6.05333995082607,"T_dil1",13.7318092439224,0,1
+"33",-1.20397280432594,"T_dil2",98.6278362064847,0,1
+"34",-1.89711998488588,"T_dil2",91.9467456348685,0,1
+"35",-2.59026716544583,"T_dil2",81.1063382356277,0,1
+"36",-3.28341434600577,"T_dil2",66.5646933286069,0,1
+"37",-3.97656152656572,"T_dil2",47.7664156143296,0,1
+"38",-4.669175515964,"T_dil2",36.2782062395084,0,1
+"39",-5.36232269652395,"T_dil2",25.3315901588244,0,1
+"40",-6.05333995082607,"T_dil2",20.5194055962288,0,1
+"41",-1.20397280432594,"T_dil3",102.563637887905,0,1
+"42",-1.89711998488588,"T_dil3",95.1125027406773,0,1
+"43",-2.59026716544583,"T_dil3",79.9919822121742,0,1
+"44",-3.28341434600577,"T_dil3",63.9480856159592,0,1
+"45",-3.97656152656572,"T_dil3",51.6518632196035,0,1
+"46",-4.669175515964,"T_dil3",32.0732639758047,0,1
+"47",-5.36232269652395,"T_dil3",25.9208514144765,0,1
+"48",-6.05333995082607,"T_dil3",13.8747467364743,0,1

tests/circle.csv

@@ -0,0 +1,19 @@
+"","log_dose","replname","readout","isRef","isSample"
+"3",-2.59026716544583,"R_dil1",80.3990552915314,1,0
+"11",-2.59026716544583,"R_dil2",81.7476695354555,1,0
+"19",-2.59026716544583,"R_dil3",82.9619247116025,1,0
+"4",-3.28341434600577,"R_dil1",61.033310227763,1,0
+"12",-3.28341434600577,"R_dil2",69.3997533685165,1,0
+"20",-3.28341434600577,"R_dil3",65.1152980929551,1,0
+"5",-3.97656152656572,"R_dil1",49.6514876034121,1,0
+"13",-3.97656152656572,"R_dil2",50.6311734518003,1,0
+"21",-3.97656152656572,"R_dil3",48.2011497920146,1,0
+"27",-2.59026716544583,"T_dil1",81.663576232501,0,1
+"35",-2.59026716544583,"T_dil2",81.1063382356277,0,1
+"43",-2.59026716544583,"T_dil3",79.9919822121742,0,1
+"28",-3.28341434600577,"T_dil1",62.7648499188736,0,1
+"36",-3.28341434600577,"T_dil2",66.5646933286069,0,1
+"44",-3.28341434600577,"T_dil3",63.9480856159592,0,1
+"29",-3.97656152656572,"T_dil1",43.5953468051591,0,1
+"37",-3.97656152656572,"T_dil2",47.7664156143296,0,1
+"45",-3.97656152656572,"T_dil3",51.6518632196035,0,1