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Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 30 Nov 2016 01:44:48 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Nov/30/t1480470316fw09t7xtpi04m2d.htm/, Retrieved Sun, 19 May 2024 02:28:17 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 19 May 2024 02:28:17 +0200

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Dataseries X:

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Histogram

Boxplots

avg(glucose_amount)
166.034965034965
167.815476190476
176.51655629139
99.3829787234042
167.589285714285
155.045454545454
123.464285714285
221.333333333333
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172.208588957055
117.805194805194
197.512345679012
152.25
148.904191616766
301.418803418803
177.554216867469
215.421383647798
138.499202551834
150.841463414634
117.226277372262
126.832335329341
82.6023391812865
110.153846153846
159.940476190476
143.696428571428
163.198717948717
136.819277108433
229.486033519553
150.856287425149
112.442424242424
122.347305389221
130.427299703264
133.778656126482
172.451388888888
117.567073170731
98.7093023255813
162.161490683229
175.141104294478
116.4125
105
150.393939393939
152.357142857142
119.148809523809
116.03947368421
127.386666666666
132.060975609756
137.560240963855
235.295774647887
160.644628099173
157.15625
168.267857142857
103.035087719298
156.903614457831
233.538461538461
204.180232558139
109
102.516129032258
191
118.327272727272
116.09649122807
174.107784431137
113.310126582278
140.171171171171
98.523178807947
118.278637770897
212.426751592356
99.4943089430894
164
149.695652173913
173.679389312977
180.294478527607
141.225806451612
127.781818181818
134.715116279069
202.614457831325
185.830303030303
172.556390977443
117.005988023952
135.394603709949
122.886075949367
280
170.220238095238
70.5123456790123
129.753623188405
143.532374100719
147.267857142857
204.018072289156
140.972727272727
109.85294117647
109.306748466257
136.031007751937
214.668674698795
139.345323741007
148.698795180722
153.4
209.4625
109.5
156.328
124.5
124.437125748503
99.9938271604938
144.641509433962
110.191616766467
110.716049382716
160.494047619047
182.874251497006
176.578313253012
220.107692307692
221.996363636363
103.684931506849
126.071856287425
117.440476190476
146.70238095238
115.612121212121
116.870967741935
281.710526315789
210.719745222929
127.472392638036
143.841463414634
175.740259740259
160.434523809523
115.064516129032
160.515151515151
144.878048780487
98.3030303030303
245.256944444444
74.8181818181818
84.9565217391304
154.439759036144
116.700598802395
162.267857142857
124.161073825503
111.090909090909
204.928143712574
127.790849673202
152.668674698795
146.509202453987
229.980392156862
145.165680473372
141.72619047619
235.057803468208
160
209.108108108108
159.359154929577
130.238095238095
207.521594684385
138.860606060606
124.211267605633
176.2578125
115.736526946107
102.235294117647
207.486486486486
118.5
169.058823529411
152.119047619047
171.6
181.214285714285
118.734939759036
150.071786310517
184.963414634146
148.259523809523
138.792682926829
148.638036809815
194.059701492537
197.063063063063
112.583333333333
146.158536585365
128.830357142857
158.465753424657
150.414634146341
160.676829268292
181.922619047619
117.024390243902
230.153846153846
146.363095238095
118.398809523809
89.6461538461538
120.147368421052
186.173913043478
155.141176470588
184.150326797385
146.090909090909
207.810975609756
119.441717791411
159.036363636363
130.067073170731
183.523809523809
192.656626506024
164.50909090909
166.918604651162
177.868421052631
155.981595092024
85.3333333333333
198.165517241379
124.392857142857
148.632530120481
173.216867469879
143.51497005988
181.2
94.4166666666666
183.555555555555
82.6652360515021
117.115384615384
214.9
133.561643835616
244.658823529411
160.932835820895
160.640718562874
164.924242424242
132.530769230769
207.407643312101
175.73202614379
147.215686274509
121.343558282208
84.5731707317073
211.371069182389
171.884848484848
264.670212765957
153.830065359477
152.544827586206
137.890410958904
188.964285714285
112.11304347826
184.920731707317
163.925
169.90625
191.412121212121
127.462686567164
145.79746835443
94.6666666666666
250.434523809523
125.652173913043
135.662068965517
200.074626865671
131.439393939393
144.254019292604
129.763975155279
189.526717557251
153.006024096385
155.545454545454
324.53488372093
93.326923076923
141.656441717791
191.483870967741
99.3070539419087
143.4
160.910179640718
156.454545454545
148.917721518987
113.355421686747
112.747967479674
170.823170731707
195.522935779816
158.455172413793
181.181208053691
149.604790419161
161.738095238095
123.379518072289
158.408284023668
152.831325301204
142.075
151.375
108.286585365853
162.410071942446
199.254658385093
197.164705882352
133.929824561403
178.048275862068
109.536585365853
126.869047619047
159.555555555555
171.767857142857
125.094674556213
140.644970414201
84.6380952380952
156.595238095238
165.701863354037
147.540983606557
89.2072072072072
163.708074534161
193.786163522012
135.42735042735
130.359281437125
184.684523809523
156.873493975903
176.490445859872
174.682926829268
196.182926829268
155.865030674846
136.113207547169
139.603773584905
97.9025974025974
160.011904761904
203.915662650602
157.28431372549
168.410071942446
192.801169590643
93.5636363636363
137.281437125748
160.151515151515
160.897959183673
146.967136150234
183.138364779874
109.578313253012
138.695121951219
114.935483870967
89.1964285714285
261.292993630573
93.8181818181818
194.755952380952
151.725
174.737804878048
157.801418439716
131.55487804878
223.058252427184
98.5602409638554
158.802631578947
134.832335329341
194.990147783251
121.649122807017
166.80981595092
113.993506493506
226.341269841269
182.311377245509
94.7151515151515
174.561728395061
150.434782608695
148.109756097561
150.232
141.184049079754
141.2874251497
132.684523809523
154.005952380952
76.6296296296296
205.029761904761
143.251851851851
158.861111111111
290.2204610951
176.341614906832
242.833333333333
109.24375
141.655737704918
110.514492753623
120.708333333333
129.598802395209
227.936305732484
111.277227722772
157.333333333333
187.649305555555
157.179640718562
153.842105263157
193.197640117994
121.96
95.6904761904761
116.703703703703
119.533333333333
97.4569536423841
133.901840490797
66.5
94.625
143.759259259259
304.764705882352
173.283783783783
208.895705521472
184.518072289156
223.754491017964
150.843373493975
103.552631578947
87.5151515151515
102.690909090909
193.006451612903
189.079889807162
107.532258064516
79.0299401197604
154.947368421052
198.141025641025
107.5
122.134615384615
92.7485029940119
130.568965517241
103.842592592592
261.543478260869
142.331288343558
82.5625
210.157575757575
185.014285714285
106.193548387096
113.456790123456
176.034246575342
93.6607142857142
170.285714285714
154.826086956521
187.682926829268
161.214285714285
158.418181818181
90.3214285714285
173.090909090909
108.071428571428
210.863095238095
174.05
161.777777777777
172.690476190476
229.18064516129
217.894267515923
191.89156626506
168.208333333333
213.265060240963
323.648148148148
197.030612244897
116.679012345679
183.691358024691
176.625850340136
112.126436781609
156.295880149812
195.785714285714
146.615384615384
139.339285714285
154.841772151898
96.1823529411764
213.190909090909
113.892857142857
210.121794871794
164.782608695652
195.17469879518
206.273885350318
108.245283018867
127.757575757575
166.319018404907
133.52229299363
65.5882352941176
133.954838709677
139.680722891566
132.177514792899
150.240963855421
214.842424242424
273.25
144.4
147.48905109489
142.369047619047
102.955974842767
141.086956521739
217.717391304347
108.554838709677
132.308724832214
127.90909090909
125.365853658536
110.035714285714
119.026490066225
173.557692307692
201.86301369863
193.981707317073
199.07738095238
155.452830188679
163.863095238095
220.90243902439
137.265432098765
149.086666666666
217.994011976047
85.0363636363636
160.541666666666
212.319018404907
132.096969696969
184.744897959183
85.75
206.089285714285
186.875
166.504504504504
108.071428571428
160.445121951219
195.011764705882
170.430379746835
125.554140127388
141.112781954887
113.763975155279
90.3392857142857
99.9166666666666
229.26875
125.791666666666
99.7142857142857
136.936305732484
165.51968503937
186.185628742514
175.363095238095
213.845238095238
148.248366013071
196.513513513513
59.9444444444444
148.20625
113.75
154.185714285714
263.955555555555
201.527950310559
121.972027972027
116.707006369426
187.976470588235
119.428571428571
153.310126582278
162.275862068965
131.987179487179
127.164705882352
154.302469135802
117.777777777777
121.83734939759
160.915662650602
121.615384615384
152.932038834951
180.395408163265
106.825174825174
140.298113207547
141.828947368421
95.0180722891566
131.2265625
170.09708737864
140.493506493506
204.565476190476
222.969879518072
139.70238095238
177.589285714285
131.566176470588
115.083832335329
135.844311377245
107.054054054054
166.504504504504
147.664285714285
172.458333333333

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Parameters (Session):

par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 10 ; 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 {
barplot(mytab <- sort(table(x),T),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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code