Treatment Response Analysis in Oncology
Source:vignettes/jsurvival-03-treatment-response.Rmd
jsurvival-03-treatment-response.RmdIntroduction
This vignette demonstrates treatment response analysis for oncology studies using ClinicoPath functions. Treatment response evaluation is crucial for assessing therapy effectiveness and making clinical decisions.
Setup
library(ClinicoPath)
#> Registered S3 method overwritten by 'future':
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#> Warning: replacing previous import 'dplyr::select' by 'jmvcore::select' when
#> loading 'ClinicoPath'
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#> 'ClinicoPath'
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#> loading 'ClinicoPath'
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library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
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#>
#> intersect, setdiff, setequal, union
library(ggplot2)
#> Warning: package 'ggplot2' was built under R version 4.3.3
# Load treatment response data
data(treatmentResponse)
# Display data structure
head(treatmentResponse)
#> PatientID ResponseValue
#> 1 PT0001 63.5
#> 2 PT0002 -100.0
#> 3 PT0003 -20.5
#> 4 PT0004 55.1
#> 5 PT0005 -60.5
#> 6 PT0006 -93.6
cat("Dataset dimensions:", dim(treatmentResponse), "\n")
#> Dataset dimensions: 250 2Basic Response Analysis
Response Distribution
# Analyze response categories using basic R
if("Response" %in% names(treatmentResponse)) {
cat("Response Categories:\n")
print(table(treatmentResponse$Response, useNA = "ifany"))
} else {
cat("Available variables in treatmentResponse:\n")
print(names(treatmentResponse))
}
#> Available variables in treatmentResponse:
#> [1] "PatientID" "ResponseValue"Summary Statistics by Response Category
# Basic summary statistics
continuous_vars <- names(treatmentResponse)[sapply(treatmentResponse, is.numeric)]
cat("Continuous variables available:\n")
#> Continuous variables available:
print(continuous_vars)
#> [1] "ResponseValue"
# Example summary
if(length(continuous_vars) > 0) {
summary(treatmentResponse[continuous_vars])
}
#> ResponseValue
#> Min. :-100.000
#> 1st Qu.: -49.675
#> Median : -13.300
#> Mean : -6.616
#> 3rd Qu.: 18.900
#> Max. : 141.000
#> NA's :12Advanced Analysis with ClinicoPath Functions
Cross-tabulation Analysis
# Example of proper crosstable usage for treatment response
categorical_vars <- names(treatmentResponse)[sapply(treatmentResponse, function(x) is.factor(x) || is.character(x))]
if(length(categorical_vars) >= 2) {
crosstable(
data = treatmentResponse,
vars = categorical_vars[1:2],
group = categorical_vars[1]
)
} else {
cat("Cross-tabulation analysis available with appropriate categorical variables")
}
#> Cross-tabulation analysis available with appropriate categorical variablesData Summary Analysis
# Example of proper summarydata usage
if(length(continuous_vars) > 0 && length(categorical_vars) > 0) {
summarydata(
data = treatmentResponse,
vars = continuous_vars[1:min(2, length(continuous_vars))],
date_vars = character(0),
grvar = categorical_vars[1]
)
} else {
cat("Summary data analysis available with appropriate variables")
}
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#> <td headers="name" class="gt_row gt_left" style="font-weight: bold;">ResponseValue</td>
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#> <td headers="n_missing" class="gt_row gt_right">4.8%</td>
#> <td headers="Mean" class="gt_row gt_right">−6.6</td>
#> <td headers="Median" class="gt_row gt_right">−13.3</td>
#> <td headers="SD" class="gt_row gt_right">61.6</td></tr>
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#> <td headers="name" class="gt_row gt_left gt_striped" style="font-weight: bold;"><div style='max-width: 150px;'>
#> <details style='font-weight: normal !important;'>
#> <summary style='font-weight: bold !important;'>PatientID</summary>
#> PT0001, PT0002, PT0003, PT0004, PT0005, PT0006, PT0007, PT0008, PT0009, PT0010, PT0011, PT0012, PT0013, PT0014, PT0015, PT0016, PT0017, PT0018, PT0019, PT0020, PT0021, PT0022, PT0023, PT0024, PT0025, PT0026, PT0027, PT0028, PT0029, PT0030, PT0031, PT0032, PT0033, PT0034, PT0035, PT0036, PT0037, PT0038, PT0039, PT0040, PT0041, PT0042, PT0043, PT0044, PT0045, PT0046, PT0047, PT0048, PT0049, PT0050, PT0051, PT0052, PT0053, PT0054, PT0055, PT0056, PT0057, PT0058, PT0059, PT0060, PT0061, PT0062, PT0063, PT0064, PT0065, PT0066, PT0067, PT0068, PT0069, PT0070, PT0071, PT0072, PT0073, PT0074, PT0075, PT0076, PT0077, PT0078, PT0079, PT0080, PT0081, PT0082, PT0083, PT0084, PT0085, PT0086, PT0087, PT0088, PT0089, PT0090, PT0091, PT0092, PT0093, PT0094, PT0095, PT0096, PT0097, PT0098, PT0099, PT0100, PT0101, PT0102, PT0103, PT0104, PT0105, PT0106, PT0107, PT0108, PT0109, PT0110, PT0111, PT0112, PT0113, PT0114, PT0115, PT0116, PT0117, PT0118, PT0119, PT0120, PT0121, PT0122, PT0123, PT0124, PT0125, PT0126, PT0127, PT0128, PT0129, PT0130, PT0131, PT0132, PT0133, PT0134, PT0135, PT0136, PT0137, PT0138, PT0139, PT0140, PT0141, PT0142, PT0143, PT0144, PT0145, PT0146, PT0147, PT0148, PT0149, PT0150, PT0151, PT0152, PT0153, PT0154, PT0155, PT0156, PT0157, PT0158, PT0159, PT0160, PT0161, PT0162, PT0163, PT0164, PT0165, PT0166, PT0167, PT0168, PT0169, PT0170, PT0171, PT0172, PT0173, PT0174, PT0175, PT0176, PT0177, PT0178, PT0179, PT0180, PT0181, PT0182, PT0183, PT0184, PT0185, PT0186, PT0187, PT0188, PT0189, PT0190, PT0191, PT0192, PT0193, PT0194, PT0195, PT0196, PT0197, PT0198, PT0199, PT0200, PT0201, PT0202, PT0203, PT0204, PT0205, PT0206, PT0207, PT0208, PT0209, PT0210, PT0211, PT0212, PT0213, PT0214, PT0215, PT0216, PT0217, PT0218, PT0219, PT0220, PT0221, PT0222, PT0223, PT0224, PT0225, PT0226, PT0227, PT0228, PT0229, PT0230, PT0231, PT0232, PT0233, PT0234, PT0235, PT0236, PT0237, PT0238, PT0239, PT0240, PT0241, PT0242, PT0243, PT0244, PT0245, PT0246, PT0247, PT0248, PT0249 and PT0250
#> </details></div></td>
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fill: #3B85BF;' /><rect x='5.47' y='3.93' width='0.56' height='18.75' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #3A84BF;' /><rect x='4.91' y='3.93' width='0.56' height='18.75' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #3984BF;' /><rect x='4.35' y='3.93' width='0.56' height='18.75' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #3883BE;' /><rect x='3.79' y='3.93' width='0.56' height='18.75' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #3783BE;' /><rect x='3.23' y='3.93' width='0.56' height='18.75' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #3683BE;' /><rect x='2.67' y='3.93' width='0.56' height='18.75' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #3482BE;' /><rect x='2.11' y='3.93' width='0.56' height='18.75' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #3382BD;' /><rect x='1.56' y='3.93' width='0.56' height='18.75' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #3281BD;' /><rect x='1.00' y='3.93' width='0.56' height='18.75' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #3181BD;' /></g><g clip-path='url(#cpMC4wMHwxNDEuNzN8MC4wMHwzNC4wMg==)'><text x='1.00' y='30.18' style='font-size: 8.00px; font-family: "Arial";' textLength='52.52px' lengthAdjust='spacingAndGlyphs'>250 categories</text></g></g></svg></td>
#> <td headers="n_missing" class="gt_row gt_right gt_striped">0.0%</td>
#> <td headers="Mean" class="gt_row gt_right gt_striped">—</td>
#> <td headers="Median" class="gt_row gt_right gt_striped">—</td>
#> <td headers="SD" class="gt_row gt_right gt_striped">—</td></tr>
#> </tbody>
#>
#>
#> </table>
#> </div>
#>
#> SUMMARY OF CONTINUOUS VARIABLES
#>
#> character(0)
#>
#> *Group: PT0001*
#> Mean of ResponseValue is: 63.5 ± NA. (Median: 63.5 [Min: 63.5 - Max:
#> 63.5])
#>
#> *Group: PT0002*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0003*
#> Mean of ResponseValue is: -20.5 ± NA. (Median: -20.5 [Min: -20.5 -
#> Max: -20.5])
#>
#> *Group: PT0004*
#> Mean of ResponseValue is: 55.1 ± NA. (Median: 55.1 [Min: 55.1 - Max:
#> 55.1])
#>
#> *Group: PT0005*
#> Mean of ResponseValue is: -60.5 ± NA. (Median: -60.5 [Min: -60.5 -
#> Max: -60.5])
#>
#> *Group: PT0006*
#> Mean of ResponseValue is: -93.6 ± NA. (Median: -93.6 [Min: -93.6 -
#> Max: -93.6])
#>
#> *Group: PT0007*
#> Mean of ResponseValue is: 123.8 ± NA. (Median: 123.8 [Min: 123.8 -
#> Max: 123.8])
#>
#> *Group: PT0008*
#> Mean of ResponseValue is: -24.4 ± NA. (Median: -24.4 [Min: -24.4 -
#> Max: -24.4])
#>
#> *Group: PT0009*
#> Mean of ResponseValue is: -59.9 ± NA. (Median: -59.9 [Min: -59.9 -
#> Max: -59.9])
#>
#> *Group: PT0010*
#> Mean of ResponseValue is: 94.3 ± NA. (Median: 94.3 [Min: 94.3 - Max:
#> 94.3])
#>
#> *Group: PT0011*
#> Mean of ResponseValue is: -54.8 ± NA. (Median: -54.8 [Min: -54.8 -
#> Max: -54.8])
#>
#> *Group: PT0012*
#> Mean of ResponseValue is: 112.9 ± NA. (Median: 112.9 [Min: 112.9 -
#> Max: 112.9])
#>
#> *Group: PT0013*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0014*
#> Mean of ResponseValue is: -23.8 ± NA. (Median: -23.8 [Min: -23.8 -
#> Max: -23.8])
#>
#> *Group: PT0015*
#> Mean of ResponseValue is: -74.8 ± NA. (Median: -74.8 [Min: -74.8 -
#> Max: -74.8])
#>
#> *Group: PT0016*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0017*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0018*
#> Mean of ResponseValue is: 17.2 ± NA. (Median: 17.2 [Min: 17.2 - Max:
#> 17.2])
#>
#> *Group: PT0019*
#> Mean of ResponseValue is: -62.5 ± NA. (Median: -62.5 [Min: -62.5 -
#> Max: -62.5])
#>
#> *Group: PT0020*
#> Mean of ResponseValue is: -86.2 ± NA. (Median: -86.2 [Min: -86.2 -
#> Max: -86.2])
#>
#> *Group: PT0021*
#> Mean of ResponseValue is: 133 ± NA. (Median: 133 [Min: 133 - Max:
#> 133])
#>
#> *Group: PT0022*
#> Mean of ResponseValue is: -19.7 ± NA. (Median: -19.7 [Min: -19.7 -
#> Max: -19.7])
#>
#> *Group: PT0023*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0024*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0025*
#> Mean of ResponseValue is: 16.2 ± NA. (Median: 16.2 [Min: 16.2 - Max:
#> 16.2])
#>
#> *Group: PT0026*
#> Mean of ResponseValue is: -37.4 ± NA. (Median: -37.4 [Min: -37.4 -
#> Max: -37.4])
#>
#> *Group: PT0027*
#> Mean of ResponseValue is: -23.1 ± NA. (Median: -23.1 [Min: -23.1 -
#> Max: -23.1])
#>
#> *Group: PT0028*
#> Mean of ResponseValue is: 122.1 ± NA. (Median: 122.1 [Min: 122.1 -
#> Max: 122.1])
#>
#> *Group: PT0029*
#> Mean of ResponseValue is: -7.3 ± NA. (Median: -7.3 [Min: -7.3 - Max:
#> -7.3])
#>
#> *Group: PT0030*
#> Mean of ResponseValue is: 37.6 ± NA. (Median: 37.6 [Min: 37.6 - Max:
#> 37.6])
#>
#> *Group: PT0031*
#> Mean of ResponseValue is: 135.1 ± NA. (Median: 135.1 [Min: 135.1 -
#> Max: 135.1])
#>
#> *Group: PT0032*
#> Mean of ResponseValue is: 63.8 ± NA. (Median: 63.8 [Min: 63.8 - Max:
#> 63.8])
#>
#> *Group: PT0033*
#> Mean of ResponseValue is: -14 ± NA. (Median: -14 [Min: -14 - Max:
#> -14])
#>
#> *Group: PT0034*
#> Mean of ResponseValue is: -68.8 ± NA. (Median: -68.8 [Min: -68.8 -
#> Max: -68.8])
#>
#> *Group: PT0035*
#> Mean of ResponseValue is: -6 ± NA. (Median: -6 [Min: -6 - Max: -6])
#>
#> *Group: PT0036*
#> Mean of ResponseValue is: 67.8 ± NA. (Median: 67.8 [Min: 67.8 - Max:
#> 67.8])
#>
#> *Group: PT0037*
#> Mean of ResponseValue is: -6.7 ± NA. (Median: -6.7 [Min: -6.7 - Max:
#> -6.7])
#>
#> *Group: PT0038*
#> Mean of ResponseValue is: -27.4 ± NA. (Median: -27.4 [Min: -27.4 -
#> Max: -27.4])
#>
#> *Group: PT0039*
#> Mean of ResponseValue is: 44.4 ± NA. (Median: 44.4 [Min: 44.4 - Max:
#> 44.4])
#>
#> *Group: PT0040*
#> Mean of ResponseValue is: -31.1 ± NA. (Median: -31.1 [Min: -31.1 -
#> Max: -31.1])
#>
#> *Group: PT0041*
#> Mean of ResponseValue is: -13.6 ± NA. (Median: -13.6 [Min: -13.6 -
#> Max: -13.6])
#>
#> *Group: PT0042*
#> Mean of ResponseValue is: -21.4 ± NA. (Median: -21.4 [Min: -21.4 -
#> Max: -21.4])
#>
#> *Group: PT0043*
#> Mean of ResponseValue is: -5.6 ± NA. (Median: -5.6 [Min: -5.6 - Max:
#> -5.6])
#>
#> *Group: PT0044*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0045*
#> Mean of ResponseValue is: -29 ± NA. (Median: -29 [Min: -29 - Max:
#> -29])
#>
#> *Group: PT0046*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0047*
#> Mean of ResponseValue is: 64.1 ± NA. (Median: 64.1 [Min: 64.1 - Max:
#> 64.1])
#>
#> *Group: PT0048*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0049*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0050*
#> Mean of ResponseValue is: -38.6 ± NA. (Median: -38.6 [Min: -38.6 -
#> Max: -38.6])
#>
#> *Group: PT0051*
#> Mean of ResponseValue is: 6.5 ± NA. (Median: 6.5 [Min: 6.5 - Max:
#> 6.5])
#>
#> *Group: PT0052*
#> Mean of ResponseValue is: -14.2 ± NA. (Median: -14.2 [Min: -14.2 -
#> Max: -14.2])
#>
#> *Group: PT0053*
#> Mean of ResponseValue is: -10.7 ± NA. (Median: -10.7 [Min: -10.7 -
#> Max: -10.7])
#>
#> *Group: PT0054*
#> Mean of ResponseValue is: 63.2 ± NA. (Median: 63.2 [Min: 63.2 - Max:
#> 63.2])
#>
#> *Group: PT0055*
#> Mean of ResponseValue is: -25.4 ± NA. (Median: -25.4 [Min: -25.4 -
#> Max: -25.4])
#>
#> *Group: PT0056*
#> Mean of ResponseValue is: 118.4 ± NA. (Median: 118.4 [Min: 118.4 -
#> Max: 118.4])
#>
#> *Group: PT0057*
#> Mean of ResponseValue is: -55.8 ± NA. (Median: -55.8 [Min: -55.8 -
#> Max: -55.8])
#>
#> *Group: PT0058*
#> Mean of ResponseValue is: -22.7 ± NA. (Median: -22.7 [Min: -22.7 -
#> Max: -22.7])
#>
#> *Group: PT0059*
#> Mean of ResponseValue is: -28.3 ± NA. (Median: -28.3 [Min: -28.3 -
#> Max: -28.3])
#>
#> *Group: PT0060*
#> Mean of ResponseValue is: -63.6 ± NA. (Median: -63.6 [Min: -63.6 -
#> Max: -63.6])
#>
#> *Group: PT0061*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0062*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0063*
#> Mean of ResponseValue is: 27.9 ± NA. (Median: 27.9 [Min: 27.9 - Max:
#> 27.9])
#>
#> *Group: PT0064*
#> Mean of ResponseValue is: -73.7 ± NA. (Median: -73.7 [Min: -73.7 -
#> Max: -73.7])
#>
#> *Group: PT0065*
#> Mean of ResponseValue is: 134.2 ± NA. (Median: 134.2 [Min: 134.2 -
#> Max: 134.2])
#>
#> *Group: PT0066*
#> Mean of ResponseValue is: 16.4 ± NA. (Median: 16.4 [Min: 16.4 - Max:
#> 16.4])
#>
#> *Group: PT0067*
#> Mean of ResponseValue is: -10.4 ± NA. (Median: -10.4 [Min: -10.4 -
#> Max: -10.4])
#>
#> *Group: PT0068*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0069*
#> Mean of ResponseValue is: -74.2 ± NA. (Median: -74.2 [Min: -74.2 -
#> Max: -74.2])
#>
#> *Group: PT0070*
#> Mean of ResponseValue is: -14.6 ± NA. (Median: -14.6 [Min: -14.6 -
#> Max: -14.6])
#>
#> *Group: PT0071*
#> Mean of ResponseValue is: -24.5 ± NA. (Median: -24.5 [Min: -24.5 -
#> Max: -24.5])
#>
#> *Group: PT0072*
#> Mean of ResponseValue is: 18.9 ± NA. (Median: 18.9 [Min: 18.9 - Max:
#> 18.9])
#>
#> *Group: PT0073*
#> Mean of ResponseValue is: -5.2 ± NA. (Median: -5.2 [Min: -5.2 - Max:
#> -5.2])
#>
#> *Group: PT0074*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0075*
#> Mean of ResponseValue is: -19.4 ± NA. (Median: -19.4 [Min: -19.4 -
#> Max: -19.4])
#>
#> *Group: PT0076*
#> Mean of ResponseValue is: 141 ± NA. (Median: 141 [Min: 141 - Max:
#> 141])
#>
#> *Group: PT0077*
#> Mean of ResponseValue is: -15.1 ± NA. (Median: -15.1 [Min: -15.1 -
#> Max: -15.1])
#>
#> *Group: PT0078*
#> Mean of ResponseValue is: 2.6 ± NA. (Median: 2.6 [Min: 2.6 - Max:
#> 2.6])
#>
#> *Group: PT0079*
#> Mean of ResponseValue is: -36.4 ± NA. (Median: -36.4 [Min: -36.4 -
#> Max: -36.4])
#>
#> *Group: PT0080*
#> Mean of ResponseValue is: 19.4 ± NA. (Median: 19.4 [Min: 19.4 - Max:
#> 19.4])
#>
#> *Group: PT0081*
#> Mean of ResponseValue is: -67 ± NA. (Median: -67 [Min: -67 - Max:
#> -67])
#>
#> *Group: PT0082*
#> Mean of ResponseValue is: -10.3 ± NA. (Median: -10.3 [Min: -10.3 -
#> Max: -10.3])
#>
#> *Group: PT0083*
#> Mean of ResponseValue is: -22.8 ± NA. (Median: -22.8 [Min: -22.8 -
#> Max: -22.8])
#>
#> *Group: PT0084*
#> Mean of ResponseValue is: -76.8 ± NA. (Median: -76.8 [Min: -76.8 -
#> Max: -76.8])
#>
#> *Group: PT0085*
#> Mean of ResponseValue is: 93.4 ± NA. (Median: 93.4 [Min: 93.4 - Max:
#> 93.4])
#>
#> *Group: PT0086*
#> Mean of ResponseValue is: -34.2 ± NA. (Median: -34.2 [Min: -34.2 -
#> Max: -34.2])
#>
#> *Group: PT0087*
#> Mean of ResponseValue is: -12.1 ± NA. (Median: -12.1 [Min: -12.1 -
#> Max: -12.1])
#>
#> *Group: PT0088*
#> Mean of ResponseValue is: 12 ± NA. (Median: 12 [Min: 12 - Max: 12])
#>
#> *Group: PT0089*
#> Mean of ResponseValue is: 6.1 ± NA. (Median: 6.1 [Min: 6.1 - Max:
#> 6.1])
#>
#> *Group: PT0090*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0091*
#> Mean of ResponseValue is: -34.9 ± NA. (Median: -34.9 [Min: -34.9 -
#> Max: -34.9])
#>
#> *Group: PT0092*
#> Mean of ResponseValue is: -29.8 ± NA. (Median: -29.8 [Min: -29.8 -
#> Max: -29.8])
#>
#> *Group: PT0093*
#> Mean of ResponseValue is: -21.9 ± NA. (Median: -21.9 [Min: -21.9 -
#> Max: -21.9])
#>
#> *Group: PT0094*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0095*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0096*
#> Mean of ResponseValue is: 71.9 ± NA. (Median: 71.9 [Min: 71.9 - Max:
#> 71.9])
#>
#> *Group: PT0097*
#> Mean of ResponseValue is: 3.7 ± NA. (Median: 3.7 [Min: 3.7 - Max:
#> 3.7])
#>
#> *Group: PT0098*
#> Mean of ResponseValue is: -63.8 ± NA. (Median: -63.8 [Min: -63.8 -
#> Max: -63.8])
#>
#> *Group: PT0099*
#> Mean of ResponseValue is: 89.4 ± NA. (Median: 89.4 [Min: 89.4 - Max:
#> 89.4])
#>
#> *Group: PT0100*
#> Mean of ResponseValue is: -74.4 ± NA. (Median: -74.4 [Min: -74.4 -
#> Max: -74.4])
#>
#> *Group: PT0101*
#> Mean of ResponseValue is: -42 ± NA. (Median: -42 [Min: -42 - Max:
#> -42])
#>
#> *Group: PT0102*
#> Mean of ResponseValue is: -15.3 ± NA. (Median: -15.3 [Min: -15.3 -
#> Max: -15.3])
#>
#> *Group: PT0103*
#> Mean of ResponseValue is: -9.5 ± NA. (Median: -9.5 [Min: -9.5 - Max:
#> -9.5])
#>
#> *Group: PT0104*
#> Mean of ResponseValue is: -25.4 ± NA. (Median: -25.4 [Min: -25.4 -
#> Max: -25.4])
#>
#> *Group: PT0105*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0106*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0107*
#> Mean of ResponseValue is: 123.8 ± NA. (Median: 123.8 [Min: 123.8 -
#> Max: 123.8])
#>
#> *Group: PT0108*
#> Mean of ResponseValue is: 66.8 ± NA. (Median: 66.8 [Min: 66.8 - Max:
#> 66.8])
#>
#> *Group: PT0109*
#> Mean of ResponseValue is: -92.4 ± NA. (Median: -92.4 [Min: -92.4 -
#> Max: -92.4])
#>
#> *Group: PT0110*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0111*
#> Mean of ResponseValue is: -33 ± NA. (Median: -33 [Min: -33 - Max:
#> -33])
#>
#> *Group: PT0112*
#> Mean of ResponseValue is: 68.5 ± NA. (Median: 68.5 [Min: 68.5 - Max:
#> 68.5])
#>
#> *Group: PT0113*
#> Mean of ResponseValue is: 124.8 ± NA. (Median: 124.8 [Min: 124.8 -
#> Max: 124.8])
#>
#> *Group: PT0114*
#> Mean of ResponseValue is: -35.8 ± NA. (Median: -35.8 [Min: -35.8 -
#> Max: -35.8])
#>
#> *Group: PT0115*
#> Mean of ResponseValue is: -66.4 ± NA. (Median: -66.4 [Min: -66.4 -
#> Max: -66.4])
#>
#> *Group: PT0116*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0117*
#> Mean of ResponseValue is: -26.2 ± NA. (Median: -26.2 [Min: -26.2 -
#> Max: -26.2])
#>
#> *Group: PT0118*
#> Mean of ResponseValue is: -21.7 ± NA. (Median: -21.7 [Min: -21.7 -
#> Max: -21.7])
#>
#> *Group: PT0119*
#> Mean of ResponseValue is: -46.9 ± NA. (Median: -46.9 [Min: -46.9 -
#> Max: -46.9])
#>
#> *Group: PT0120*
#> Mean of ResponseValue is: 81.8 ± NA. (Median: 81.8 [Min: 81.8 - Max:
#> 81.8])
#>
#> *Group: PT0121*
#> Mean of ResponseValue is: 4.2 ± NA. (Median: 4.2 [Min: 4.2 - Max:
#> 4.2])
#>
#> *Group: PT0122*
#> Mean of ResponseValue is: 17.5 ± NA. (Median: 17.5 [Min: 17.5 - Max:
#> 17.5])
#>
#> *Group: PT0123*
#> Mean of ResponseValue is: -62.7 ± NA. (Median: -62.7 [Min: -62.7 -
#> Max: -62.7])
#>
#> *Group: PT0124*
#> Mean of ResponseValue is: -64.4 ± NA. (Median: -64.4 [Min: -64.4 -
#> Max: -64.4])
#>
#> *Group: PT0125*
#> Mean of ResponseValue is: 92.8 ± NA. (Median: 92.8 [Min: 92.8 - Max:
#> 92.8])
#>
#> *Group: PT0126*
#> Mean of ResponseValue is: 2.6 ± NA. (Median: 2.6 [Min: 2.6 - Max:
#> 2.6])
#>
#> *Group: PT0127*
#> Mean of ResponseValue is: 56.3 ± NA. (Median: 56.3 [Min: 56.3 - Max:
#> 56.3])
#>
#> *Group: PT0128*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0129*
#> Mean of ResponseValue is: 18.9 ± NA. (Median: 18.9 [Min: 18.9 - Max:
#> 18.9])
#>
#> *Group: PT0130*
#> Mean of ResponseValue is: 103.7 ± NA. (Median: 103.7 [Min: 103.7 -
#> Max: 103.7])
#>
#> *Group: PT0131*
#> Mean of ResponseValue is: 95.7 ± NA. (Median: 95.7 [Min: 95.7 - Max:
#> 95.7])
#>
#> *Group: PT0132*
#> Mean of ResponseValue is: -55 ± NA. (Median: -55 [Min: -55 - Max:
#> -55])
#>
#> *Group: PT0133*
#> Mean of ResponseValue is: -34.9 ± NA. (Median: -34.9 [Min: -34.9 -
#> Max: -34.9])
#>
#> *Group: PT0134*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0135*
#> Mean of ResponseValue is: 70.7 ± NA. (Median: 70.7 [Min: 70.7 - Max:
#> 70.7])
#>
#> *Group: PT0136*
#> Mean of ResponseValue is: -76.3 ± NA. (Median: -76.3 [Min: -76.3 -
#> Max: -76.3])
#>
#> *Group: PT0137*
#> Mean of ResponseValue is: 31.8 ± NA. (Median: 31.8 [Min: 31.8 - Max:
#> 31.8])
#>
#> *Group: PT0138*
#> Mean of ResponseValue is: -13.9 ± NA. (Median: -13.9 [Min: -13.9 -
#> Max: -13.9])
#>
#> *Group: PT0139*
#> Mean of ResponseValue is: 118.6 ± NA. (Median: 118.6 [Min: 118.6 -
#> Max: 118.6])
#>
#> *Group: PT0140*
#> Mean of ResponseValue is: -88.2 ± NA. (Median: -88.2 [Min: -88.2 -
#> Max: -88.2])
#>
#> *Group: PT0141*
#> Mean of ResponseValue is: 5.5 ± NA. (Median: 5.5 [Min: 5.5 - Max:
#> 5.5])
#>
#> *Group: PT0142*
#> Mean of ResponseValue is: 18.2 ± NA. (Median: 18.2 [Min: 18.2 - Max:
#> 18.2])
#>
#> *Group: PT0143*
#> Mean of ResponseValue is: -81.9 ± NA. (Median: -81.9 [Min: -81.9 -
#> Max: -81.9])
#>
#> *Group: PT0144*
#> Mean of ResponseValue is: 34.1 ± NA. (Median: 34.1 [Min: 34.1 - Max:
#> 34.1])
#>
#> *Group: PT0145*
#> Mean of ResponseValue is: 27.2 ± NA. (Median: 27.2 [Min: 27.2 - Max:
#> 27.2])
#>
#> *Group: PT0146*
#> Mean of ResponseValue is: 127.9 ± NA. (Median: 127.9 [Min: 127.9 -
#> Max: 127.9])
#>
#> *Group: PT0147*
#> Mean of ResponseValue is: -1 ± NA. (Median: -1 [Min: -1 - Max: -1])
#>
#> *Group: PT0148*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0149*
#> Mean of ResponseValue is: -6.5 ± NA. (Median: -6.5 [Min: -6.5 - Max:
#> -6.5])
#>
#> *Group: PT0150*
#> Mean of ResponseValue is: -11.7 ± NA. (Median: -11.7 [Min: -11.7 -
#> Max: -11.7])
#>
#> *Group: PT0151*
#> Mean of ResponseValue is: 56.4 ± NA. (Median: 56.4 [Min: 56.4 - Max:
#> 56.4])
#>
#> *Group: PT0152*
#> Mean of ResponseValue is: 0 ± NA. (Median: 0 [Min: 0 - Max: 0])
#>
#> *Group: PT0153*
#> Mean of ResponseValue is: 126.4 ± NA. (Median: 126.4 [Min: 126.4 -
#> Max: 126.4])
#>
#> *Group: PT0154*
#> Mean of ResponseValue is: -25 ± NA. (Median: -25 [Min: -25 - Max:
#> -25])
#>
#> *Group: PT0155*
#> Mean of ResponseValue is: -32.4 ± NA. (Median: -32.4 [Min: -32.4 -
#> Max: -32.4])
#>
#> *Group: PT0156*
#> Mean of ResponseValue is: 41.9 ± NA. (Median: 41.9 [Min: 41.9 - Max:
#> 41.9])
#>
#> *Group: PT0157*
#> Mean of ResponseValue is: -25.6 ± NA. (Median: -25.6 [Min: -25.6 -
#> Max: -25.6])
#>
#> *Group: PT0158*
#> Mean of ResponseValue is: 13 ± NA. (Median: 13 [Min: 13 - Max: 13])
#>
#> *Group: PT0159*
#> Mean of ResponseValue is: -3.8 ± NA. (Median: -3.8 [Min: -3.8 - Max:
#> -3.8])
#>
#> *Group: PT0160*
#> Mean of ResponseValue is: -52.3 ± NA. (Median: -52.3 [Min: -52.3 -
#> Max: -52.3])
#>
#> *Group: PT0161*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0162*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0163*
#> Mean of ResponseValue is: -48.1 ± NA. (Median: -48.1 [Min: -48.1 -
#> Max: -48.1])
#>
#> *Group: PT0164*
#> Mean of ResponseValue is: -5.5 ± NA. (Median: -5.5 [Min: -5.5 - Max:
#> -5.5])
#>
#> *Group: PT0165*
#> Mean of ResponseValue is: -32.3 ± NA. (Median: -32.3 [Min: -32.3 -
#> Max: -32.3])
#>
#> *Group: PT0166*
#> Mean of ResponseValue is: 15.3 ± NA. (Median: 15.3 [Min: 15.3 - Max:
#> 15.3])
#>
#> *Group: PT0167*
#> Mean of ResponseValue is: -59.2 ± NA. (Median: -59.2 [Min: -59.2 -
#> Max: -59.2])
#>
#> *Group: PT0168*
#> Mean of ResponseValue is: -26.1 ± NA. (Median: -26.1 [Min: -26.1 -
#> Max: -26.1])
#>
#> *Group: PT0169*
#> Mean of ResponseValue is: -28.8 ± NA. (Median: -28.8 [Min: -28.8 -
#> Max: -28.8])
#>
#> *Group: PT0170*
#> Mean of ResponseValue is: -4.3 ± NA. (Median: -4.3 [Min: -4.3 - Max:
#> -4.3])
#>
#> *Group: PT0171*
#> Mean of ResponseValue is: 102 ± NA. (Median: 102 [Min: 102 - Max:
#> 102])
#>
#> *Group: PT0172*
#> Mean of ResponseValue is: -9 ± NA. (Median: -9 [Min: -9 - Max: -9])
#>
#> *Group: PT0173*
#> Mean of ResponseValue is: 13.9 ± NA. (Median: 13.9 [Min: 13.9 - Max:
#> 13.9])
#>
#> *Group: PT0174*
#> Mean of ResponseValue is: -88 ± NA. (Median: -88 [Min: -88 - Max:
#> -88])
#>
#> *Group: PT0175*
#> Mean of ResponseValue is: 18.9 ± NA. (Median: 18.9 [Min: 18.9 - Max:
#> 18.9])
#>
#> *Group: PT0176*
#> Mean of ResponseValue is: -16.7 ± NA. (Median: -16.7 [Min: -16.7 -
#> Max: -16.7])
#>
#> *Group: PT0177*
#> Mean of ResponseValue is: 31 ± NA. (Median: 31 [Min: 31 - Max: 31])
#>
#> *Group: PT0178*
#> Mean of ResponseValue is: -69.9 ± NA. (Median: -69.9 [Min: -69.9 -
#> Max: -69.9])
#>
#> *Group: PT0179*
#> Mean of ResponseValue is: 36.2 ± NA. (Median: 36.2 [Min: 36.2 - Max:
#> 36.2])
#>
#> *Group: PT0180*
#> Mean of ResponseValue is: 95.6 ± NA. (Median: 95.6 [Min: 95.6 - Max:
#> 95.6])
#>
#> *Group: PT0181*
#> Mean of ResponseValue is: 51.2 ± NA. (Median: 51.2 [Min: 51.2 - Max:
#> 51.2])
#>
#> *Group: PT0182*
#> Mean of ResponseValue is: 113.8 ± NA. (Median: 113.8 [Min: 113.8 -
#> Max: 113.8])
#>
#> *Group: PT0183*
#> Mean of ResponseValue is: -22.6 ± NA. (Median: -22.6 [Min: -22.6 -
#> Max: -22.6])
#>
#> *Group: PT0184*
#> Mean of ResponseValue is: -22.3 ± NA. (Median: -22.3 [Min: -22.3 -
#> Max: -22.3])
#>
#> *Group: PT0185*
#> Mean of ResponseValue is: 53.7 ± NA. (Median: 53.7 [Min: 53.7 - Max:
#> 53.7])
#>
#> *Group: PT0186*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0187*
#> Mean of ResponseValue is: 75.4 ± NA. (Median: 75.4 [Min: 75.4 - Max:
#> 75.4])
#>
#> *Group: PT0188*
#> Mean of ResponseValue is: 27.8 ± NA. (Median: 27.8 [Min: 27.8 - Max:
#> 27.8])
#>
#> *Group: PT0189*
#> Mean of ResponseValue is: -24.2 ± NA. (Median: -24.2 [Min: -24.2 -
#> Max: -24.2])
#>
#> *Group: PT0190*
#> Mean of ResponseValue is: -5.9 ± NA. (Median: -5.9 [Min: -5.9 - Max:
#> -5.9])
#>
#> *Group: PT0191*
#> Mean of ResponseValue is: 18.9 ± NA. (Median: 18.9 [Min: 18.9 - Max:
#> 18.9])
#>
#> *Group: PT0192*
#> Mean of ResponseValue is: 125.5 ± NA. (Median: 125.5 [Min: 125.5 -
#> Max: 125.5])
#>
#> *Group: PT0193*
#> Mean of ResponseValue is: -2.9 ± NA. (Median: -2.9 [Min: -2.9 - Max:
#> -2.9])
#>
#> *Group: PT0194*
#> Mean of ResponseValue is: -26.3 ± NA. (Median: -26.3 [Min: -26.3 -
#> Max: -26.3])
#>
#> *Group: PT0195*
#> Mean of ResponseValue is: -6.7 ± NA. (Median: -6.7 [Min: -6.7 - Max:
#> -6.7])
#>
#> *Group: PT0196*
#> Mean of ResponseValue is: -13 ± NA. (Median: -13 [Min: -13 - Max:
#> -13])
#>
#> *Group: PT0197*
#> Mean of ResponseValue is: -50.2 ± NA. (Median: -50.2 [Min: -50.2 -
#> Max: -50.2])
#>
#> *Group: PT0198*
#> Mean of ResponseValue is: -4.3 ± NA. (Median: -4.3 [Min: -4.3 - Max:
#> -4.3])
#>
#> *Group: PT0199*
#> Mean of ResponseValue is: 86.9 ± NA. (Median: 86.9 [Min: 86.9 - Max:
#> 86.9])
#>
#> *Group: PT0200*
#> Mean of ResponseValue is: 90.9 ± NA. (Median: 90.9 [Min: 90.9 - Max:
#> 90.9])
#>
#> *Group: PT0201*
#> Mean of ResponseValue is: 78.2 ± NA. (Median: 78.2 [Min: 78.2 - Max:
#> 78.2])
#>
#> *Group: PT0202*
#> Mean of ResponseValue is: -89.5 ± NA. (Median: -89.5 [Min: -89.5 -
#> Max: -89.5])
#>
#> *Group: PT0203*
#> Mean of ResponseValue is: 140.9 ± NA. (Median: 140.9 [Min: 140.9 -
#> Max: 140.9])
#>
#> *Group: PT0204*
#> Mean of ResponseValue is: -29.1 ± NA. (Median: -29.1 [Min: -29.1 -
#> Max: -29.1])
#>
#> *Group: PT0205*
#> Mean of ResponseValue is: -9.3 ± NA. (Median: -9.3 [Min: -9.3 - Max:
#> -9.3])
#>
#> *Group: PT0206*
#> Mean of ResponseValue is: -18.6 ± NA. (Median: -18.6 [Min: -18.6 -
#> Max: -18.6])
#>
#> *Group: PT0207*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0208*
#> Mean of ResponseValue is: -88.5 ± NA. (Median: -88.5 [Min: -88.5 -
#> Max: -88.5])
#>
#> *Group: PT0209*
#> Mean of ResponseValue is: -5.9 ± NA. (Median: -5.9 [Min: -5.9 - Max:
#> -5.9])
#>
#> *Group: PT0210*
#> Mean of ResponseValue is: 2.5 ± NA. (Median: 2.5 [Min: 2.5 - Max:
#> 2.5])
#>
#> *Group: PT0211*
#> Mean of ResponseValue is: -35.1 ± NA. (Median: -35.1 [Min: -35.1 -
#> Max: -35.1])
#>
#> *Group: PT0212*
#> Mean of ResponseValue is: -71.4 ± NA. (Median: -71.4 [Min: -71.4 -
#> Max: -71.4])
#>
#> *Group: PT0213*
#> Mean of ResponseValue is: 12.7 ± NA. (Median: 12.7 [Min: 12.7 - Max:
#> 12.7])
#>
#> *Group: PT0214*
#> Mean of ResponseValue is: -14.9 ± NA. (Median: -14.9 [Min: -14.9 -
#> Max: -14.9])
#>
#> *Group: PT0215*
#> Mean of ResponseValue is: -64.7 ± NA. (Median: -64.7 [Min: -64.7 -
#> Max: -64.7])
#>
#> *Group: PT0216*
#> Mean of ResponseValue is: 38.6 ± NA. (Median: 38.6 [Min: 38.6 - Max:
#> 38.6])
#>
#> *Group: PT0217*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0218*
#> Mean of ResponseValue is: 3.3 ± NA. (Median: 3.3 [Min: 3.3 - Max:
#> 3.3])
#>
#> *Group: PT0219*
#> Mean of ResponseValue is: -91 ± NA. (Median: -91 [Min: -91 - Max:
#> -91])
#>
#> *Group: PT0220*
#> Mean of ResponseValue is: 76 ± NA. (Median: 76 [Min: 76 - Max: 76])
#>
#> *Group: PT0221*
#> Mean of ResponseValue is: -69.2 ± NA. (Median: -69.2 [Min: -69.2 -
#> Max: -69.2])
#>
#> *Group: PT0222*
#> Mean of ResponseValue is: 4.8 ± NA. (Median: 4.8 [Min: 4.8 - Max:
#> 4.8])
#>
#> *Group: PT0223*
#> Mean of ResponseValue is: -52.1 ± NA. (Median: -52.1 [Min: -52.1 -
#> Max: -52.1])
#>
#> *Group: PT0224*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0225*
#> Mean of ResponseValue is: -9.6 ± NA. (Median: -9.6 [Min: -9.6 - Max:
#> -9.6])
#>
#> *Group: PT0226*
#> Mean of ResponseValue is: 59.9 ± NA. (Median: 59.9 [Min: 59.9 - Max:
#> 59.9])
#>
#> *Group: PT0227*
#> Mean of ResponseValue is: -17.2 ± NA. (Median: -17.2 [Min: -17.2 -
#> Max: -17.2])
#>
#> *Group: PT0228*
#> Mean of ResponseValue is: 3.6 ± NA. (Median: 3.6 [Min: 3.6 - Max:
#> 3.6])
#>
#> *Group: PT0229*
#> Mean of ResponseValue is: 14.6 ± NA. (Median: 14.6 [Min: 14.6 - Max:
#> 14.6])
#>
#> *Group: PT0230*
#> Mean of ResponseValue is: 12.2 ± NA. (Median: 12.2 [Min: 12.2 - Max:
#> 12.2])
#>
#> *Group: PT0231*
#> Mean of ResponseValue is: NaN ± NA. (Median: NA [Min: Inf - Max:
#> -Inf])
#>
#> *Group: PT0232*
#> Mean of ResponseValue is: -26 ± NA. (Median: -26 [Min: -26 - Max:
#> -26])
#>
#> *Group: PT0233*
#> Mean of ResponseValue is: 11.4 ± NA. (Median: 11.4 [Min: 11.4 - Max:
#> 11.4])
#>
#> *Group: PT0234*
#> Mean of ResponseValue is: -26.3 ± NA. (Median: -26.3 [Min: -26.3 -
#> Max: -26.3])
#>
#> *Group: PT0235*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> *Group: PT0236*
#> Mean of ResponseValue is: 34.9 ± NA. (Median: 34.9 [Min: 34.9 - Max:
#> 34.9])
#>
#> *Group: PT0237*
#> Mean of ResponseValue is: 2 ± NA. (Median: 2 [Min: 2 - Max: 2])
#>
#> *Group: PT0238*
#> Mean of ResponseValue is: 61.7 ± NA. (Median: 61.7 [Min: 61.7 - Max:
#> 61.7])
#>
#> *Group: PT0239*
#> Mean of ResponseValue is: -82.7 ± NA. (Median: -82.7 [Min: -82.7 -
#> Max: -82.7])
#>
#> *Group: PT0240*
#> Mean of ResponseValue is: -10.3 ± NA. (Median: -10.3 [Min: -10.3 -
#> Max: -10.3])
#>
#> *Group: PT0241*
#> Mean of ResponseValue is: 13 ± NA. (Median: 13 [Min: 13 - Max: 13])
#>
#> *Group: PT0242*
#> Mean of ResponseValue is: -72.4 ± NA. (Median: -72.4 [Min: -72.4 -
#> Max: -72.4])
#>
#> *Group: PT0243*
#> Mean of ResponseValue is: -29.8 ± NA. (Median: -29.8 [Min: -29.8 -
#> Max: -29.8])
#>
#> *Group: PT0244*
#> Mean of ResponseValue is: 15.5 ± NA. (Median: 15.5 [Min: 15.5 - Max:
#> 15.5])
#>
#> *Group: PT0245*
#> Mean of ResponseValue is: -33.1 ± NA. (Median: -33.1 [Min: -33.1 -
#> Max: -33.1])
#>
#> *Group: PT0246*
#> Mean of ResponseValue is: -63.1 ± NA. (Median: -63.1 [Min: -63.1 -
#> Max: -63.1])
#>
#> *Group: PT0247*
#> Mean of ResponseValue is: -6.8 ± NA. (Median: -6.8 [Min: -6.8 - Max:
#> -6.8])
#>
#> *Group: PT0248*
#> Mean of ResponseValue is: -0.2 ± NA. (Median: -0.2 [Min: -0.2 - Max:
#> -0.2])
#>
#> *Group: PT0249*
#> Mean of ResponseValue is: -36.1 ± NA. (Median: -36.1 [Min: -36.1 -
#> Max: -36.1])
#>
#> *Group: PT0250*
#> Mean of ResponseValue is: -100 ± NA. (Median: -100 [Min: -100 - Max:
#> -100])
#>
#> <table class="gt_table" data-quarto-disable-processing="false"
#> data-quarto-bootstrap="false">
#>
#> <tr class="gt_heading">
#> <td colspan="7" class="gt_heading gt_title gt_font_normal" style>.
#>
#> <tr class="gt_heading">
#> <td colspan="7" class="gt_heading gt_subtitle gt_font_normal
#> gt_bottom_border" style>250 rows x 2 cols
#>
#> <tr class="gt_col_headings">
#> <th class="gt_col_heading gt_columns_bottom_border gt_left"
#> rowspan="1" colspan="1" scope="col" id="type">
#> <th class="gt_col_heading gt_columns_bottom_border gt_left"
#> rowspan="1" colspan="1" scope="col" id="name">Column
#> <th class="gt_col_heading gt_columns_bottom_border gt_center"
#> rowspan="1" colspan="1" scope="col" id="value">Plot Overview
#> <th class="gt_col_heading gt_columns_bottom_border gt_right"
#> rowspan="1" colspan="1" scope="col" id="n_missing">Missing
#> <th class="gt_col_heading gt_columns_bottom_border gt_right"
#> rowspan="1" colspan="1" scope="col" id="Mean">Mean
#> <th class="gt_col_heading gt_columns_bottom_border gt_right"
#> rowspan="1" colspan="1" scope="col" id="Median">Median
#> <th class="gt_col_heading gt_columns_bottom_border gt_right"
#> rowspan="1" colspan="1" scope="col" id="SD">SD
#>
#>
#> <tbody class="gt_table_body">
#> <td headers="type" class="gt_row gt_left"><svg aria-hidden="true"
#> role="img" viewBox="0 0 640 512"
#> style="height:20px;width:25px;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#f18e2c;overflow:visible;position:relative;"><path
#> d="M576 0c17.7 0 32 14.3 32 32V480c0 17.7-14.3 32-32
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#> 32V480c0 17.7-14.3 32-32 32s-32-14.3-32-32V128c0-17.7 14.3-32
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#> 416v64c0 17.7-14.3 32-32 32s-32-14.3-32-32V416c0-17.7 14.3-32 32-32s32
#> 14.3 32 32z"/>
#> <td headers="name" class="gt_row gt_left" style="font-weight:
#> bold;">ResponseValue
#> <td headers="value" class="gt_row gt_center"><?xml version='1.0'
#> encoding='UTF-8' ?><svg xmlns='http://www.w3.org/2000/svg'
#> xmlns:xlink='http://www.w3.org/1999/xlink' width='141.73pt'
#> height='34.02pt' viewBox='0 0 141.73 34.02'><g class='svglite'> <style
#> type='text/css'><![CDATA[ .svglite line, .svglite polyline, .svglite
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#> width='100%' height='100%' style='stroke: none; fill: none;'/>
#> <clipPath id='cpMC4wMHwxNDEuNzN8MC4wMHwzNC4wMg=='> <rect x='0.00'
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#> width='139.74' height='22.56' /> <g
#> clip-path='url(#cpMS4wMHwxNDAuNzR8MS4wMHwyMy41Ng==)'><rect x='7.35'
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#> #F8BB87;' /><rect x='17.93' y='19.04' width='10.59' height='4.51'
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#> /><rect x='123.80' y='18.14' width='10.59' height='5.41'
#> style='stroke-width: 1.07; stroke: #FFFFFF; stroke-linecap: butt;
#> stroke-linejoin: miter; fill: #F8BB87;' /><circle cx='16.59'
#> cy='23.10' r='0.46' style='stroke-width: 0.71; stroke: none;'
#> /><circle cx='16.59' cy='23.10' r='0.46' style='stroke-width: 0.71;
#> stroke: none;' /><line x1='59.21' y1='23.56' x2='59.21' y2='1.00'
#> style='stroke-width: 1.07; stroke-linecap: butt;' /><g
#> clip-path='url(#cpMC4wMHwxNDEuNzN8MC4wMHwzNC4wMg==)'><polyline
#> points='1.00,23.56 140.74,23.56 ' style='stroke-width: 0.75;'
#> /><polyline points='17.74,26.39 17.74,23.56 ' style='stroke-width:
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#> style='stroke-width: 0.75;' /><text x='17.74' y='33.36'
#> text-anchor='middle' style='font-size: 6.00px; font-weight: 0;
#> font-family: "Courier";' textLength='32.34px'
#> lengthAdjust='spacingAndGlyphs'>-100 auto<text x='133.02' y='33.36'
#> text-anchor='middle' style='font-size: 6.00px; font-weight: 0;
#> font-family: "Courier";' textLength='28.75px'
#> lengthAdjust='spacingAndGlyphs'>141 auto
#> <td headers="n_missing" class="gt_row gt_right">4.8%
#> <td headers="Mean" class="gt_row gt_right">−6.6
#> <td headers="Median" class="gt_row gt_right">−13.3
#> <td headers="SD" class="gt_row gt_right">61.6
#> <td headers="type" class="gt_row gt_left gt_striped"><svg
#> aria-hidden="true" role="img" viewBox="0 0 512 512"
#> style="height:20px;width:20px;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#4e79a7;overflow:visible;position:relative;"><path
#> d="M40 48C26.7 48 16 58.7 16 72v48c0 13.3 10.7 24 24 24H88c13.3 0
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#> <td headers="name" class="gt_row gt_left gt_striped"
#> style="font-weight: bold;"><div style='max-width: 150px;'>
#> <details style='font-weight: normal !important;'>
#> <summary style='font-weight: bold !important;'>PatientID
#> PT0001, PT0002, PT0003, PT0004, PT0005, PT0006, PT0007, PT0008,
#> PT0009, PT0010, PT0011, PT0012, PT0013, PT0014, PT0015, PT0016,
#> PT0017, PT0018, PT0019, PT0020, PT0021, PT0022, PT0023, PT0024,
#> PT0025, PT0026, PT0027, PT0028, PT0029, PT0030, PT0031, PT0032,
#> PT0033, PT0034, PT0035, PT0036, PT0037, PT0038, PT0039, PT0040,
#> PT0041, PT0042, PT0043, PT0044, PT0045, PT0046, PT0047, PT0048,
#> PT0049, PT0050, PT0051, PT0052, PT0053, PT0054, PT0055, PT0056,
#> PT0057, PT0058, PT0059, PT0060, PT0061, PT0062, PT0063, PT0064,
#> PT0065, PT0066, PT0067, PT0068, PT0069, PT0070, PT0071, PT0072,
#> PT0073, PT0074, PT0075, PT0076, PT0077, PT0078, PT0079, PT0080,
#> PT0081, PT0082, PT0083, PT0084, PT0085, PT0086, PT0087, PT0088,
#> PT0089, PT0090, PT0091, PT0092, PT0093, PT0094, PT0095, PT0096,
#> PT0097, PT0098, PT0099, PT0100, PT0101, PT0102, PT0103, PT0104,
#> PT0105, PT0106, PT0107, PT0108, PT0109, PT0110, PT0111, PT0112,
#> PT0113, PT0114, PT0115, PT0116, PT0117, PT0118, PT0119, PT0120,
#> PT0121, PT0122, PT0123, PT0124, PT0125, PT0126, PT0127, PT0128,
#> PT0129, PT0130, PT0131, PT0132, PT0133, PT0134, PT0135, PT0136,
#> PT0137, PT0138, PT0139, PT0140, PT0141, PT0142, PT0143, PT0144,
#> PT0145, PT0146, PT0147, PT0148, PT0149, PT0150, PT0151, PT0152,
#> PT0153, PT0154, PT0155, PT0156, PT0157, PT0158, PT0159, PT0160,
#> PT0161, PT0162, PT0163, PT0164, PT0165, PT0166, PT0167, PT0168,
#> PT0169, PT0170, PT0171, PT0172, PT0173, PT0174, PT0175, PT0176,
#> PT0177, PT0178, PT0179, PT0180, PT0181, PT0182, PT0183, PT0184,
#> PT0185, PT0186, PT0187, PT0188, PT0189, PT0190, PT0191, PT0192,
#> PT0193, PT0194, PT0195, PT0196, PT0197, PT0198, PT0199, PT0200,
#> PT0201, PT0202, PT0203, PT0204, PT0205, PT0206, PT0207, PT0208,
#> PT0209, PT0210, PT0211, PT0212, PT0213, PT0214, PT0215, PT0216,
#> PT0217, PT0218, PT0219, PT0220, PT0221, PT0222, PT0223, PT0224,
#> PT0225, PT0226, PT0227, PT0228, PT0229, PT0230, PT0231, PT0232,
#> PT0233, PT0234, PT0235, PT0236, PT0237, PT0238, PT0239, PT0240,
#> PT0241, PT0242, PT0243, PT0244, PT0245, PT0246, PT0247, PT0248, PT0249
#> and PT0250
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#> textLength='52.52px' lengthAdjust='spacingAndGlyphs'>250 categories
#> <td headers="n_missing" class="gt_row gt_right gt_striped">0.0%
#> <td headers="Mean" class="gt_row gt_right gt_striped">—
#> <td headers="Median" class="gt_row gt_right gt_striped">—
#> <td headers="SD" class="gt_row gt_right gt_striped">—Visualization Examples
Waterfall Plot Analysis
# Waterfall plot example
# Note: Requires specific data structure with PatientID, ResponseVar, TimeVar
cat("Waterfall Plot Analysis:\n")
#> Waterfall Plot Analysis:
cat("- Requires: PatientID, ResponseVar, TimeVar columns\n")
#> - Requires: PatientID, ResponseVar, TimeVar columns
cat("- Shows individual patient treatment responses\n")
#> - Shows individual patient treatment responses
cat("- Gold standard for oncology response visualization\n\n")
#> - Gold standard for oncology response visualization
# Check if required columns exist
required_cols <- c("PatientID", "Response", "Month")
available_cols <- intersect(required_cols, names(treatmentResponse))
cat("Available required columns:", paste(available_cols, collapse = ", "), "\n")
#> Available required columns: PatientID
# Example usage (commented out to avoid errors)
# waterfall(
# data = treatmentResponse,
# patientID = "PatientID",
# responseVar = "Response",
# timeVar = "Month"
# )Swimmer Plot Analysis
# Swimmer plot example
cat("Swimmer Plot Analysis:\n")
#> Swimmer Plot Analysis:
cat("- Shows individual patient timelines\n")
#> - Shows individual patient timelines
cat("- Displays treatment duration and clinical events\n")
#> - Displays treatment duration and clinical events
cat("- Useful for tracking patient follow-up\n\n")
#> - Useful for tracking patient follow-up
# Check data structure for swimmer plots
cat("For swimmer plots, data should include:\n")
#> For swimmer plots, data should include:
cat("- Patient identifiers\n")
#> - Patient identifiers
cat("- Treatment start/end times\n")
#> - Treatment start/end times
cat("- Clinical events and timelines\n")
#> - Clinical events and timelinesResponse Evaluation Guidelines
RECIST Criteria
# RECIST response categories explanation
cat("RECIST Response Categories:\n")
#> RECIST Response Categories:
cat("- Complete Response (CR): Disappearance of all target lesions\n")
#> - Complete Response (CR): Disappearance of all target lesions
cat("- Partial Response (PR): ≥30% decrease in sum of target lesions\n")
#> - Partial Response (PR): ≥30% decrease in sum of target lesions
cat("- Progressive Disease (PD): ≥20% increase in sum of target lesions\n")
#> - Progressive Disease (PD): ≥20% increase in sum of target lesions
cat("- Stable Disease (SD): Neither PR nor PD criteria met\n\n")
#> - Stable Disease (SD): Neither PR nor PD criteria met
# Check if RECIST categories are present in data
recist_cols <- grep("RECIST|Response", names(treatmentResponse), value = TRUE, ignore.case = TRUE)
if(length(recist_cols) > 0) {
cat("RECIST-related columns found:", paste(recist_cols, collapse = ", "), "\n")
}
#> RECIST-related columns found: ResponseValueStatistical Considerations
# Response rate calculations
cat("Statistical Considerations for Treatment Response:\n\n")
#> Statistical Considerations for Treatment Response:
cat("1. Overall Response Rate (ORR) = (CR + PR) / Total patients\n")
#> 1. Overall Response Rate (ORR) = (CR + PR) / Total patients
cat("2. Disease Control Rate (DCR) = (CR + PR + SD) / Total patients\n")
#> 2. Disease Control Rate (DCR) = (CR + PR + SD) / Total patients
cat("3. Confidence intervals should be calculated for response rates\n")
#> 3. Confidence intervals should be calculated for response rates
cat("4. Consider stratification by patient characteristics\n\n")
#> 4. Consider stratification by patient characteristics
# Example calculation if response data is available
if("Response" %in% names(treatmentResponse) || length(recist_cols) > 0) {
cat("Response rate analysis can be performed with available data\n")
} else {
cat("Load appropriate response data for rate calculations\n")
}
#> Response rate analysis can be performed with available dataIntegration with jamovi
All functions demonstrated in this vignette are available through jamovi’s graphical interface:
-
Data Summary:
Exploration > ClinicoPath Descriptives > Summary Data -
Cross-tabulations:
Exploration > ClinicoPath Comparisons > Cross Tables - Visualization: Specialized plots available through ClinicoPath menu
The jamovi interface provides point-and-click access to these specialized oncology analysis tools, making them accessible to clinical researchers without programming experience.
Further Resources
- Clinical Workflow Vignette: For integrating response analysis into complete study workflows
-
Visualization Gallery: For advanced customization
of oncology plots
- Getting Started Guide: For basic ClinicoPathDescriptives functionality
- Individual Function Vignettes: For detailed parameter usage and examples
Best Practices
- Data Preparation: Ensure consistent response coding across all patients
- Missing Data: Handle missing responses appropriately in analysis
- Time Points: Use consistent assessment time points for comparability
- Quality Control: Validate response assessments and resolve discrepancies
- Statistical Power: Consider sample size requirements for detecting response differences