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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 05 Aug 2013 08:38:21 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Aug/05/t1375706330jaf3kce1gg7s39r.htm/, Retrieved Sat, 27 Apr 2024 20:10:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210947, Retrieved Sat, 27 Apr 2024 20:10:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Stap 2 tijdreeks 1] [2013-08-05 09:34:55] [9b490dd2ab715f1b5bf65aa31d98df3d]
- R P   [Histogram] [Stap 5 tijdreeks 1] [2013-08-05 12:33:01] [9b490dd2ab715f1b5bf65aa31d98df3d]
-         [Histogram] [stap 5 / 1] [2013-08-05 12:36:18] [9b490dd2ab715f1b5bf65aa31d98df3d]
-   P         [Histogram] [stap 5 / 1] [2013-08-05 12:38:21] [38a0db91cd47487c7649642dcb33e029] [Current]
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Dataseries X:
57
56
55
53
73
72
57
47
48
48
49
51
45
39
34
34
53
55
40
22
31
31
39
43
42
31
37
35
52
48
31
19
30
34
37
41
32
25
28
29
56
56
41
39
45
42
50
60
62
48
44
40
67
69
64
69
68
60
69
79
83
71
63
69
95
103
101
105
104
94
111
116
122
103
96
104
124
141
137
137
139
132
150
150
147
130
133
135
148
165
153
159
154
151
174
169
162
152
162
167
173
181
173
178
172
171
196
199
190
176
188
193
200
209
200
207
204
192
216
216




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210947&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210947&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[15,20[17.510.0083330.0083330.001667
[20,25[22.510.0083330.0166670.001667
[25,30[27.530.0250.0416670.005
[30,35[32.590.0750.1166670.015
[35,40[37.560.050.1666670.01
[40,45[42.580.0666670.2333330.013333
[45,50[47.580.0666670.30.013333
[50,55[52.550.0416670.3416670.008333
[55,60[57.570.0583330.40.011667
[60,65[62.550.0416670.4416670.008333
[65,70[67.560.050.4916670.01
[70,75[72.530.0250.5166670.005
[75,80[77.510.0083330.5250.001667
[80,85[82.510.0083330.5333330.001667
[85,90[87.5000.5333330
[90,95[92.510.0083330.5416670.001667
[95,100[97.520.0166670.5583330.003333
[100,105[102.550.0416670.60.008333
[105,110[107.510.0083330.6083330.001667
[110,115[112.510.0083330.6166670.001667
[115,120[117.510.0083330.6250.001667
[120,125[122.520.0166670.6416670.003333
[125,130[127.5000.6416670
[130,135[132.530.0250.6666670.005
[135,140[137.540.0333330.70.006667
[140,145[142.510.0083330.7083330.001667
[145,150[147.520.0166670.7250.003333
[150,155[152.560.050.7750.01
[155,160[157.510.0083330.7833330.001667
[160,165[162.520.0166670.80.003333
[165,170[167.530.0250.8250.005
[170,175[172.550.0416670.8666670.008333
[175,180[177.520.0166670.8833330.003333
[180,185[182.510.0083330.8916670.001667
[185,190[187.510.0083330.90.001667
[190,195[192.530.0250.9250.005
[195,200[197.520.0166670.9416670.003333
[200,205[202.530.0250.9666670.005
[205,210[207.520.0166670.9833330.003333
[210,215[212.5000.9833330
[215,220]217.520.01666710.003333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[15,20[ & 17.5 & 1 & 0.008333 & 0.008333 & 0.001667 \tabularnewline
[20,25[ & 22.5 & 1 & 0.008333 & 0.016667 & 0.001667 \tabularnewline
[25,30[ & 27.5 & 3 & 0.025 & 0.041667 & 0.005 \tabularnewline
[30,35[ & 32.5 & 9 & 0.075 & 0.116667 & 0.015 \tabularnewline
[35,40[ & 37.5 & 6 & 0.05 & 0.166667 & 0.01 \tabularnewline
[40,45[ & 42.5 & 8 & 0.066667 & 0.233333 & 0.013333 \tabularnewline
[45,50[ & 47.5 & 8 & 0.066667 & 0.3 & 0.013333 \tabularnewline
[50,55[ & 52.5 & 5 & 0.041667 & 0.341667 & 0.008333 \tabularnewline
[55,60[ & 57.5 & 7 & 0.058333 & 0.4 & 0.011667 \tabularnewline
[60,65[ & 62.5 & 5 & 0.041667 & 0.441667 & 0.008333 \tabularnewline
[65,70[ & 67.5 & 6 & 0.05 & 0.491667 & 0.01 \tabularnewline
[70,75[ & 72.5 & 3 & 0.025 & 0.516667 & 0.005 \tabularnewline
[75,80[ & 77.5 & 1 & 0.008333 & 0.525 & 0.001667 \tabularnewline
[80,85[ & 82.5 & 1 & 0.008333 & 0.533333 & 0.001667 \tabularnewline
[85,90[ & 87.5 & 0 & 0 & 0.533333 & 0 \tabularnewline
[90,95[ & 92.5 & 1 & 0.008333 & 0.541667 & 0.001667 \tabularnewline
[95,100[ & 97.5 & 2 & 0.016667 & 0.558333 & 0.003333 \tabularnewline
[100,105[ & 102.5 & 5 & 0.041667 & 0.6 & 0.008333 \tabularnewline
[105,110[ & 107.5 & 1 & 0.008333 & 0.608333 & 0.001667 \tabularnewline
[110,115[ & 112.5 & 1 & 0.008333 & 0.616667 & 0.001667 \tabularnewline
[115,120[ & 117.5 & 1 & 0.008333 & 0.625 & 0.001667 \tabularnewline
[120,125[ & 122.5 & 2 & 0.016667 & 0.641667 & 0.003333 \tabularnewline
[125,130[ & 127.5 & 0 & 0 & 0.641667 & 0 \tabularnewline
[130,135[ & 132.5 & 3 & 0.025 & 0.666667 & 0.005 \tabularnewline
[135,140[ & 137.5 & 4 & 0.033333 & 0.7 & 0.006667 \tabularnewline
[140,145[ & 142.5 & 1 & 0.008333 & 0.708333 & 0.001667 \tabularnewline
[145,150[ & 147.5 & 2 & 0.016667 & 0.725 & 0.003333 \tabularnewline
[150,155[ & 152.5 & 6 & 0.05 & 0.775 & 0.01 \tabularnewline
[155,160[ & 157.5 & 1 & 0.008333 & 0.783333 & 0.001667 \tabularnewline
[160,165[ & 162.5 & 2 & 0.016667 & 0.8 & 0.003333 \tabularnewline
[165,170[ & 167.5 & 3 & 0.025 & 0.825 & 0.005 \tabularnewline
[170,175[ & 172.5 & 5 & 0.041667 & 0.866667 & 0.008333 \tabularnewline
[175,180[ & 177.5 & 2 & 0.016667 & 0.883333 & 0.003333 \tabularnewline
[180,185[ & 182.5 & 1 & 0.008333 & 0.891667 & 0.001667 \tabularnewline
[185,190[ & 187.5 & 1 & 0.008333 & 0.9 & 0.001667 \tabularnewline
[190,195[ & 192.5 & 3 & 0.025 & 0.925 & 0.005 \tabularnewline
[195,200[ & 197.5 & 2 & 0.016667 & 0.941667 & 0.003333 \tabularnewline
[200,205[ & 202.5 & 3 & 0.025 & 0.966667 & 0.005 \tabularnewline
[205,210[ & 207.5 & 2 & 0.016667 & 0.983333 & 0.003333 \tabularnewline
[210,215[ & 212.5 & 0 & 0 & 0.983333 & 0 \tabularnewline
[215,220] & 217.5 & 2 & 0.016667 & 1 & 0.003333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210947&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]1[/C][C]0.008333[/C][C]0.008333[/C][C]0.001667[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]1[/C][C]0.008333[/C][C]0.016667[/C][C]0.001667[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]3[/C][C]0.025[/C][C]0.041667[/C][C]0.005[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]9[/C][C]0.075[/C][C]0.116667[/C][C]0.015[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]6[/C][C]0.05[/C][C]0.166667[/C][C]0.01[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]8[/C][C]0.066667[/C][C]0.233333[/C][C]0.013333[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]8[/C][C]0.066667[/C][C]0.3[/C][C]0.013333[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]5[/C][C]0.041667[/C][C]0.341667[/C][C]0.008333[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]7[/C][C]0.058333[/C][C]0.4[/C][C]0.011667[/C][/ROW]
[ROW][C][60,65[[/C][C]62.5[/C][C]5[/C][C]0.041667[/C][C]0.441667[/C][C]0.008333[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]6[/C][C]0.05[/C][C]0.491667[/C][C]0.01[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]3[/C][C]0.025[/C][C]0.516667[/C][C]0.005[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]1[/C][C]0.008333[/C][C]0.525[/C][C]0.001667[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]1[/C][C]0.008333[/C][C]0.533333[/C][C]0.001667[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]0[/C][C]0[/C][C]0.533333[/C][C]0[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]1[/C][C]0.008333[/C][C]0.541667[/C][C]0.001667[/C][/ROW]
[ROW][C][95,100[[/C][C]97.5[/C][C]2[/C][C]0.016667[/C][C]0.558333[/C][C]0.003333[/C][/ROW]
[ROW][C][100,105[[/C][C]102.5[/C][C]5[/C][C]0.041667[/C][C]0.6[/C][C]0.008333[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]1[/C][C]0.008333[/C][C]0.608333[/C][C]0.001667[/C][/ROW]
[ROW][C][110,115[[/C][C]112.5[/C][C]1[/C][C]0.008333[/C][C]0.616667[/C][C]0.001667[/C][/ROW]
[ROW][C][115,120[[/C][C]117.5[/C][C]1[/C][C]0.008333[/C][C]0.625[/C][C]0.001667[/C][/ROW]
[ROW][C][120,125[[/C][C]122.5[/C][C]2[/C][C]0.016667[/C][C]0.641667[/C][C]0.003333[/C][/ROW]
[ROW][C][125,130[[/C][C]127.5[/C][C]0[/C][C]0[/C][C]0.641667[/C][C]0[/C][/ROW]
[ROW][C][130,135[[/C][C]132.5[/C][C]3[/C][C]0.025[/C][C]0.666667[/C][C]0.005[/C][/ROW]
[ROW][C][135,140[[/C][C]137.5[/C][C]4[/C][C]0.033333[/C][C]0.7[/C][C]0.006667[/C][/ROW]
[ROW][C][140,145[[/C][C]142.5[/C][C]1[/C][C]0.008333[/C][C]0.708333[/C][C]0.001667[/C][/ROW]
[ROW][C][145,150[[/C][C]147.5[/C][C]2[/C][C]0.016667[/C][C]0.725[/C][C]0.003333[/C][/ROW]
[ROW][C][150,155[[/C][C]152.5[/C][C]6[/C][C]0.05[/C][C]0.775[/C][C]0.01[/C][/ROW]
[ROW][C][155,160[[/C][C]157.5[/C][C]1[/C][C]0.008333[/C][C]0.783333[/C][C]0.001667[/C][/ROW]
[ROW][C][160,165[[/C][C]162.5[/C][C]2[/C][C]0.016667[/C][C]0.8[/C][C]0.003333[/C][/ROW]
[ROW][C][165,170[[/C][C]167.5[/C][C]3[/C][C]0.025[/C][C]0.825[/C][C]0.005[/C][/ROW]
[ROW][C][170,175[[/C][C]172.5[/C][C]5[/C][C]0.041667[/C][C]0.866667[/C][C]0.008333[/C][/ROW]
[ROW][C][175,180[[/C][C]177.5[/C][C]2[/C][C]0.016667[/C][C]0.883333[/C][C]0.003333[/C][/ROW]
[ROW][C][180,185[[/C][C]182.5[/C][C]1[/C][C]0.008333[/C][C]0.891667[/C][C]0.001667[/C][/ROW]
[ROW][C][185,190[[/C][C]187.5[/C][C]1[/C][C]0.008333[/C][C]0.9[/C][C]0.001667[/C][/ROW]
[ROW][C][190,195[[/C][C]192.5[/C][C]3[/C][C]0.025[/C][C]0.925[/C][C]0.005[/C][/ROW]
[ROW][C][195,200[[/C][C]197.5[/C][C]2[/C][C]0.016667[/C][C]0.941667[/C][C]0.003333[/C][/ROW]
[ROW][C][200,205[[/C][C]202.5[/C][C]3[/C][C]0.025[/C][C]0.966667[/C][C]0.005[/C][/ROW]
[ROW][C][205,210[[/C][C]207.5[/C][C]2[/C][C]0.016667[/C][C]0.983333[/C][C]0.003333[/C][/ROW]
[ROW][C][210,215[[/C][C]212.5[/C][C]0[/C][C]0[/C][C]0.983333[/C][C]0[/C][/ROW]
[ROW][C][215,220][/C][C]217.5[/C][C]2[/C][C]0.016667[/C][C]1[/C][C]0.003333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210947&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[15,20[17.510.0083330.0083330.001667
[20,25[22.510.0083330.0166670.001667
[25,30[27.530.0250.0416670.005
[30,35[32.590.0750.1166670.015
[35,40[37.560.050.1666670.01
[40,45[42.580.0666670.2333330.013333
[45,50[47.580.0666670.30.013333
[50,55[52.550.0416670.3416670.008333
[55,60[57.570.0583330.40.011667
[60,65[62.550.0416670.4416670.008333
[65,70[67.560.050.4916670.01
[70,75[72.530.0250.5166670.005
[75,80[77.510.0083330.5250.001667
[80,85[82.510.0083330.5333330.001667
[85,90[87.5000.5333330
[90,95[92.510.0083330.5416670.001667
[95,100[97.520.0166670.5583330.003333
[100,105[102.550.0416670.60.008333
[105,110[107.510.0083330.6083330.001667
[110,115[112.510.0083330.6166670.001667
[115,120[117.510.0083330.6250.001667
[120,125[122.520.0166670.6416670.003333
[125,130[127.5000.6416670
[130,135[132.530.0250.6666670.005
[135,140[137.540.0333330.70.006667
[140,145[142.510.0083330.7083330.001667
[145,150[147.520.0166670.7250.003333
[150,155[152.560.050.7750.01
[155,160[157.510.0083330.7833330.001667
[160,165[162.520.0166670.80.003333
[165,170[167.530.0250.8250.005
[170,175[172.550.0416670.8666670.008333
[175,180[177.520.0166670.8833330.003333
[180,185[182.510.0083330.8916670.001667
[185,190[187.510.0083330.90.001667
[190,195[192.530.0250.9250.005
[195,200[197.520.0166670.9416670.003333
[200,205[202.530.0250.9666670.005
[205,210[207.520.0166670.9833330.003333
[210,215[212.5000.9833330
[215,220]217.520.01666710.003333



Parameters (Session):
par1 = 50 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 50 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}