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*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 13 Aug 2017 17:38:52 +0200

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/2017/Aug/13/t1502638837zic29dylazeqdqm.htm/, Retrieved Thu, 09 May 2024 23:07:45 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=307187, Retrieved Thu, 09 May 2024 23:07:45 +0000

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User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Histogram] [] [2017-08-13 15:38:52] [b5765487180b26865894987d1ded8bd3] [Current]

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307187&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

1 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=307187&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307187&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	1 seconds
R Server	Big Analytics Cloud Computing Center

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[65000,70000[	67500	1	0.008333	0.008333	2e-06
[70000,75000[	72500	0	0	0.008333	0
[75000,80000[	77500	0	0	0.008333	0
[80000,85000[	82500	0	0	0.008333	0
[85000,90000[	87500	1	0.008333	0.016667	2e-06
[90000,95000[	92500	0	0	0.016667	0
[95000,100000[	97500	2	0.016667	0.033333	3e-06
[100000,105000[	102500	2	0.016667	0.05	3e-06
[105000,110000[	107500	0	0	0.05	0
[110000,115000[	112500	0	0	0.05	0
[115000,120000[	117500	0	0	0.05	0
[120000,125000[	122500	3	0.025	0.075	5e-06
[125000,130000[	127500	4	0.033333	0.108333	7e-06
[130000,135000[	132500	3	0.025	0.133333	5e-06
[135000,140000[	137500	1	0.008333	0.141667	2e-06
[140000,145000[	142500	2	0.016667	0.158333	3e-06
[145000,150000[	147500	1	0.008333	0.166667	2e-06
[150000,155000[	152500	2	0.016667	0.183333	3e-06
[155000,160000[	157500	4	0.033333	0.216667	7e-06
[160000,165000[	162500	3	0.025	0.241667	5e-06
[165000,170000[	167500	1	0.008333	0.25	2e-06
[170000,175000[	172500	4	0.033333	0.283333	7e-06
[175000,180000[	177500	0	0	0.283333	0
[180000,185000[	182500	5	0.041667	0.325	8e-06
[185000,190000[	187500	1	0.008333	0.333333	2e-06
[190000,195000[	192500	2	0.016667	0.35	3e-06
[195000,200000[	197500	3	0.025	0.375	5e-06
[200000,205000[	202500	4	0.033333	0.408333	7e-06
[205000,210000[	207500	3	0.025	0.433333	5e-06
[210000,215000[	212500	3	0.025	0.458333	5e-06
[215000,220000[	217500	2	0.016667	0.475	3e-06
[220000,225000[	222500	8	0.066667	0.541667	1.3e-05
[225000,230000[	227500	16	0.133333	0.675	2.7e-05
[230000,235000[	232500	8	0.066667	0.741667	1.3e-05
[235000,240000[	237500	5	0.041667	0.783333	8e-06
[240000,245000[	242500	14	0.116667	0.9	2.3e-05
[245000,250000[	247500	9	0.075	0.975	1.5e-05
[250000,255000[	252500	0	0	0.975	0
[255000,260000[	257500	2	0.016667	0.991667	3e-06
[260000,265000]	262500	1	0.008333	1	2e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[65000,70000[ & 67500 & 1 & 0.008333 & 0.008333 & 2e-06 \tabularnewline
[70000,75000[ & 72500 & 0 & 0 & 0.008333 & 0 \tabularnewline
[75000,80000[ & 77500 & 0 & 0 & 0.008333 & 0 \tabularnewline
[80000,85000[ & 82500 & 0 & 0 & 0.008333 & 0 \tabularnewline
[85000,90000[ & 87500 & 1 & 0.008333 & 0.016667 & 2e-06 \tabularnewline
[90000,95000[ & 92500 & 0 & 0 & 0.016667 & 0 \tabularnewline
[95000,100000[ & 97500 & 2 & 0.016667 & 0.033333 & 3e-06 \tabularnewline
[100000,105000[ & 102500 & 2 & 0.016667 & 0.05 & 3e-06 \tabularnewline
[105000,110000[ & 107500 & 0 & 0 & 0.05 & 0 \tabularnewline
[110000,115000[ & 112500 & 0 & 0 & 0.05 & 0 \tabularnewline
[115000,120000[ & 117500 & 0 & 0 & 0.05 & 0 \tabularnewline
[120000,125000[ & 122500 & 3 & 0.025 & 0.075 & 5e-06 \tabularnewline
[125000,130000[ & 127500 & 4 & 0.033333 & 0.108333 & 7e-06 \tabularnewline
[130000,135000[ & 132500 & 3 & 0.025 & 0.133333 & 5e-06 \tabularnewline
[135000,140000[ & 137500 & 1 & 0.008333 & 0.141667 & 2e-06 \tabularnewline
[140000,145000[ & 142500 & 2 & 0.016667 & 0.158333 & 3e-06 \tabularnewline
[145000,150000[ & 147500 & 1 & 0.008333 & 0.166667 & 2e-06 \tabularnewline
[150000,155000[ & 152500 & 2 & 0.016667 & 0.183333 & 3e-06 \tabularnewline
[155000,160000[ & 157500 & 4 & 0.033333 & 0.216667 & 7e-06 \tabularnewline
[160000,165000[ & 162500 & 3 & 0.025 & 0.241667 & 5e-06 \tabularnewline
[165000,170000[ & 167500 & 1 & 0.008333 & 0.25 & 2e-06 \tabularnewline
[170000,175000[ & 172500 & 4 & 0.033333 & 0.283333 & 7e-06 \tabularnewline
[175000,180000[ & 177500 & 0 & 0 & 0.283333 & 0 \tabularnewline
[180000,185000[ & 182500 & 5 & 0.041667 & 0.325 & 8e-06 \tabularnewline
[185000,190000[ & 187500 & 1 & 0.008333 & 0.333333 & 2e-06 \tabularnewline
[190000,195000[ & 192500 & 2 & 0.016667 & 0.35 & 3e-06 \tabularnewline
[195000,200000[ & 197500 & 3 & 0.025 & 0.375 & 5e-06 \tabularnewline
[200000,205000[ & 202500 & 4 & 0.033333 & 0.408333 & 7e-06 \tabularnewline
[205000,210000[ & 207500 & 3 & 0.025 & 0.433333 & 5e-06 \tabularnewline
[210000,215000[ & 212500 & 3 & 0.025 & 0.458333 & 5e-06 \tabularnewline
[215000,220000[ & 217500 & 2 & 0.016667 & 0.475 & 3e-06 \tabularnewline
[220000,225000[ & 222500 & 8 & 0.066667 & 0.541667 & 1.3e-05 \tabularnewline
[225000,230000[ & 227500 & 16 & 0.133333 & 0.675 & 2.7e-05 \tabularnewline
[230000,235000[ & 232500 & 8 & 0.066667 & 0.741667 & 1.3e-05 \tabularnewline
[235000,240000[ & 237500 & 5 & 0.041667 & 0.783333 & 8e-06 \tabularnewline
[240000,245000[ & 242500 & 14 & 0.116667 & 0.9 & 2.3e-05 \tabularnewline
[245000,250000[ & 247500 & 9 & 0.075 & 0.975 & 1.5e-05 \tabularnewline
[250000,255000[ & 252500 & 0 & 0 & 0.975 & 0 \tabularnewline
[255000,260000[ & 257500 & 2 & 0.016667 & 0.991667 & 3e-06 \tabularnewline
[260000,265000] & 262500 & 1 & 0.008333 & 1 & 2e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=307187&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][65000,70000[[/C][C]67500[/C][C]1[/C][C]0.008333[/C][C]0.008333[/C][C]2e-06[/C][/ROW]
[ROW][C][70000,75000[[/C][C]72500[/C][C]0[/C][C]0[/C][C]0.008333[/C][C]0[/C][/ROW]
[ROW][C][75000,80000[[/C][C]77500[/C][C]0[/C][C]0[/C][C]0.008333[/C][C]0[/C][/ROW]
[ROW][C][80000,85000[[/C][C]82500[/C][C]0[/C][C]0[/C][C]0.008333[/C][C]0[/C][/ROW]
[ROW][C][85000,90000[[/C][C]87500[/C][C]1[/C][C]0.008333[/C][C]0.016667[/C][C]2e-06[/C][/ROW]
[ROW][C][90000,95000[[/C][C]92500[/C][C]0[/C][C]0[/C][C]0.016667[/C][C]0[/C][/ROW]
[ROW][C][95000,100000[[/C][C]97500[/C][C]2[/C][C]0.016667[/C][C]0.033333[/C][C]3e-06[/C][/ROW]
[ROW][C][100000,105000[[/C][C]102500[/C][C]2[/C][C]0.016667[/C][C]0.05[/C][C]3e-06[/C][/ROW]
[ROW][C][105000,110000[[/C][C]107500[/C][C]0[/C][C]0[/C][C]0.05[/C][C]0[/C][/ROW]
[ROW][C][110000,115000[[/C][C]112500[/C][C]0[/C][C]0[/C][C]0.05[/C][C]0[/C][/ROW]
[ROW][C][115000,120000[[/C][C]117500[/C][C]0[/C][C]0[/C][C]0.05[/C][C]0[/C][/ROW]
[ROW][C][120000,125000[[/C][C]122500[/C][C]3[/C][C]0.025[/C][C]0.075[/C][C]5e-06[/C][/ROW]
[ROW][C][125000,130000[[/C][C]127500[/C][C]4[/C][C]0.033333[/C][C]0.108333[/C][C]7e-06[/C][/ROW]
[ROW][C][130000,135000[[/C][C]132500[/C][C]3[/C][C]0.025[/C][C]0.133333[/C][C]5e-06[/C][/ROW]
[ROW][C][135000,140000[[/C][C]137500[/C][C]1[/C][C]0.008333[/C][C]0.141667[/C][C]2e-06[/C][/ROW]
[ROW][C][140000,145000[[/C][C]142500[/C][C]2[/C][C]0.016667[/C][C]0.158333[/C][C]3e-06[/C][/ROW]
[ROW][C][145000,150000[[/C][C]147500[/C][C]1[/C][C]0.008333[/C][C]0.166667[/C][C]2e-06[/C][/ROW]
[ROW][C][150000,155000[[/C][C]152500[/C][C]2[/C][C]0.016667[/C][C]0.183333[/C][C]3e-06[/C][/ROW]
[ROW][C][155000,160000[[/C][C]157500[/C][C]4[/C][C]0.033333[/C][C]0.216667[/C][C]7e-06[/C][/ROW]
[ROW][C][160000,165000[[/C][C]162500[/C][C]3[/C][C]0.025[/C][C]0.241667[/C][C]5e-06[/C][/ROW]
[ROW][C][165000,170000[[/C][C]167500[/C][C]1[/C][C]0.008333[/C][C]0.25[/C][C]2e-06[/C][/ROW]
[ROW][C][170000,175000[[/C][C]172500[/C][C]4[/C][C]0.033333[/C][C]0.283333[/C][C]7e-06[/C][/ROW]
[ROW][C][175000,180000[[/C][C]177500[/C][C]0[/C][C]0[/C][C]0.283333[/C][C]0[/C][/ROW]
[ROW][C][180000,185000[[/C][C]182500[/C][C]5[/C][C]0.041667[/C][C]0.325[/C][C]8e-06[/C][/ROW]
[ROW][C][185000,190000[[/C][C]187500[/C][C]1[/C][C]0.008333[/C][C]0.333333[/C][C]2e-06[/C][/ROW]
[ROW][C][190000,195000[[/C][C]192500[/C][C]2[/C][C]0.016667[/C][C]0.35[/C][C]3e-06[/C][/ROW]
[ROW][C][195000,200000[[/C][C]197500[/C][C]3[/C][C]0.025[/C][C]0.375[/C][C]5e-06[/C][/ROW]
[ROW][C][200000,205000[[/C][C]202500[/C][C]4[/C][C]0.033333[/C][C]0.408333[/C][C]7e-06[/C][/ROW]
[ROW][C][205000,210000[[/C][C]207500[/C][C]3[/C][C]0.025[/C][C]0.433333[/C][C]5e-06[/C][/ROW]
[ROW][C][210000,215000[[/C][C]212500[/C][C]3[/C][C]0.025[/C][C]0.458333[/C][C]5e-06[/C][/ROW]
[ROW][C][215000,220000[[/C][C]217500[/C][C]2[/C][C]0.016667[/C][C]0.475[/C][C]3e-06[/C][/ROW]
[ROW][C][220000,225000[[/C][C]222500[/C][C]8[/C][C]0.066667[/C][C]0.541667[/C][C]1.3e-05[/C][/ROW]
[ROW][C][225000,230000[[/C][C]227500[/C][C]16[/C][C]0.133333[/C][C]0.675[/C][C]2.7e-05[/C][/ROW]
[ROW][C][230000,235000[[/C][C]232500[/C][C]8[/C][C]0.066667[/C][C]0.741667[/C][C]1.3e-05[/C][/ROW]
[ROW][C][235000,240000[[/C][C]237500[/C][C]5[/C][C]0.041667[/C][C]0.783333[/C][C]8e-06[/C][/ROW]
[ROW][C][240000,245000[[/C][C]242500[/C][C]14[/C][C]0.116667[/C][C]0.9[/C][C]2.3e-05[/C][/ROW]
[ROW][C][245000,250000[[/C][C]247500[/C][C]9[/C][C]0.075[/C][C]0.975[/C][C]1.5e-05[/C][/ROW]
[ROW][C][250000,255000[[/C][C]252500[/C][C]0[/C][C]0[/C][C]0.975[/C][C]0[/C][/ROW]
[ROW][C][255000,260000[[/C][C]257500[/C][C]2[/C][C]0.016667[/C][C]0.991667[/C][C]3e-06[/C][/ROW]
[ROW][C][260000,265000][/C][C]262500[/C][C]1[/C][C]0.008333[/C][C]1[/C][C]2e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=307187&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=307187&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)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[65000,70000[	67500	1	0.008333	0.008333	2e-06
[70000,75000[	72500	0	0	0.008333	0
[75000,80000[	77500	0	0	0.008333	0
[80000,85000[	82500	0	0	0.008333	0
[85000,90000[	87500	1	0.008333	0.016667	2e-06
[90000,95000[	92500	0	0	0.016667	0
[95000,100000[	97500	2	0.016667	0.033333	3e-06
[100000,105000[	102500	2	0.016667	0.05	3e-06
[105000,110000[	107500	0	0	0.05	0
[110000,115000[	112500	0	0	0.05	0
[115000,120000[	117500	0	0	0.05	0
[120000,125000[	122500	3	0.025	0.075	5e-06
[125000,130000[	127500	4	0.033333	0.108333	7e-06
[130000,135000[	132500	3	0.025	0.133333	5e-06
[135000,140000[	137500	1	0.008333	0.141667	2e-06
[140000,145000[	142500	2	0.016667	0.158333	3e-06
[145000,150000[	147500	1	0.008333	0.166667	2e-06
[150000,155000[	152500	2	0.016667	0.183333	3e-06
[155000,160000[	157500	4	0.033333	0.216667	7e-06
[160000,165000[	162500	3	0.025	0.241667	5e-06
[165000,170000[	167500	1	0.008333	0.25	2e-06
[170000,175000[	172500	4	0.033333	0.283333	7e-06
[175000,180000[	177500	0	0	0.283333	0
[180000,185000[	182500	5	0.041667	0.325	8e-06
[185000,190000[	187500	1	0.008333	0.333333	2e-06
[190000,195000[	192500	2	0.016667	0.35	3e-06
[195000,200000[	197500	3	0.025	0.375	5e-06
[200000,205000[	202500	4	0.033333	0.408333	7e-06
[205000,210000[	207500	3	0.025	0.433333	5e-06
[210000,215000[	212500	3	0.025	0.458333	5e-06
[215000,220000[	217500	2	0.016667	0.475	3e-06
[220000,225000[	222500	8	0.066667	0.541667	1.3e-05
[225000,230000[	227500	16	0.133333	0.675	2.7e-05
[230000,235000[	232500	8	0.066667	0.741667	1.3e-05
[235000,240000[	237500	5	0.041667	0.783333	8e-06
[240000,245000[	242500	14	0.116667	0.9	2.3e-05
[245000,250000[	247500	9	0.075	0.975	1.5e-05
[250000,255000[	252500	0	0	0.975	0
[255000,260000[	257500	2	0.016667	0.991667	3e-06
[260000,265000]	262500	1	0.008333	1	2e-06

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 100 ; par2 = blue ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 100 ; par2 = blue ; 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,'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